{
  "capped": false,
  "live": 482,
  "meta": 494,
  "kernels": [
    {
      "ref": "keshavpande/notebook614d250355",
      "title": "notebook614d250355",
      "source": "live",
      "kernel_id": "124542919"
    },
    {
      "ref": "yassirdev1/multimodal-sc-integration-meta-resources",
      "title": "Multimodal SC Integration Meta-Resources",
      "source": "live",
      "kernel_id": "122004264"
    },
    {
      "ref": "termitorous/multimodal-single-cell-bibit-aji",
      "title": "Multimodal single cell Bibit Aji",
      "source": "live",
      "kernel_id": "60059610"
    },
    {
      "ref": "shitovvladimir/2nd-place-gru-cite-ablation",
      "title": "2nd_Place_GRU_Cite_ablation",
      "source": "live",
      "kernel_id": "59903103"
    },
    {
      "ref": "bibitwaluyoaji/multimodal-single-cell",
      "title": "Multimodal single cell",
      "source": "live",
      "kernel_id": "58961212"
    },
    {
      "ref": "shitovvladimir/2nd-place-gru-cite",
      "title": "2nd_Place_GRU_Cite",
      "source": "live",
      "kernel_id": "50605503"
    },
    {
      "ref": "mariaminaeva/ridgereg-with-expression-features",
      "title": "RidgeReg with expression features",
      "source": "live",
      "kernel_id": "38595212"
    },
    {
      "ref": "lnalinaf/sex-by-rna-lr-c100",
      "title": "sex_by_RNA_LR_c100",
      "source": "live",
      "kernel_id": "37493665"
    },
    {
      "ref": "lnalinaf/sex-by-rna-lr-c10",
      "title": "sex_by_RNA_LR_c10",
      "source": "live",
      "kernel_id": "37493620"
    },
    {
      "ref": "lnalinaf/sex-by-rna-lr-c1",
      "title": "sex_by_RNA_LR_c1",
      "source": "live",
      "kernel_id": "37493577"
    },
    {
      "ref": "lnalinaf/sex-by-rna-lr-c0-1",
      "title": "sex_by_RNA_LR_c0.1",
      "source": "live",
      "kernel_id": "37493453"
    },
    {
      "ref": "lnalinaf/sex-by-rna-lr-c0-01",
      "title": "sex_by_RNA_LR_c0.01",
      "source": "live",
      "kernel_id": "37493113"
    },
    {
      "ref": "lnalinaf/sex-by-rna-lr-c0-001",
      "title": "sex_by_RNA_LR_c0.001",
      "source": "live",
      "kernel_id": "37220151"
    },
    {
      "ref": "antoninadolgorukova/cd45-reg-related-rna-in-2-citeseq-datasets",
      "title": "CD45 reg-related RNA in 2 CITEseq datasets",
      "source": "live",
      "kernel_id": "36941982"
    },
    {
      "ref": "fyp717983/fork-of-fyp-solution",
      "title": "Fork of FYP_Solution",
      "source": "live",
      "kernel_id": "36672993"
    },
    {
      "ref": "savinaekaterina/many-citeseq-05-ligand-receptor-pairs",
      "title": "Many CITEseq 05 Ligand-Receptor Pairs",
      "source": "live",
      "kernel_id": "36634381"
    },
    {
      "ref": "alexandervc/many-citeseq-05-ligand-receptor-pairs",
      "title": "Many CITEseq 05 Ligand-Receptor Pairs",
      "source": "live",
      "kernel_id": "36414289"
    },
    {
      "ref": "antoninadolgorukova/mmscel-cd45related-pca-3d-gif",
      "title": "MmSCel 🧬: CD45related - PCA (3d & gif)",
      "source": "live",
      "kernel_id": "36379153"
    },
    {
      "ref": "shitovvladimir/makotu-ablation-combine-cite",
      "title": "Makotu_ablation_combine_cite",
      "source": "live",
      "kernel_id": "36335715"
    },
    {
      "ref": "alexandervc/citeseq-nips22-featimport-for-cd32",
      "title": "CITEseq NIPS22 FeatImport for CD32",
      "source": "live",
      "kernel_id": "36334873"
    },
    {
      "ref": "antoninadolgorukova/mmscel-cd36-go-enrichment",
      "title": "MmSCel 🧬:  CD36 GO enrichment",
      "source": "live",
      "kernel_id": "36302743"
    },
    {
      "ref": "tttzof351/perm-importance-base",
      "title": "perm_importance_base",
      "source": "live",
      "kernel_id": "36158301"
    },
    {
      "ref": "antoninadolgorukova/mmscel-cd45related-correlations-by-groups",
      "title": "MmSCel 🧬: CD45related - Correlations by groups",
      "source": "live",
      "kernel_id": "36156531"
    },
    {
      "ref": "alexandervc/many-citeseq-04-common-genes",
      "title": "Many CITEseq 04 Common genes ",
      "source": "live",
      "kernel_id": "36142281"
    },
    {
      "ref": "alexandervc/citeseqkagglenips2022-gender-affected-genes",
      "title": "CITEseqKaggleNIPS2022 Gender affected genes",
      "source": "live",
      "kernel_id": "36083580"
    },
    {
      "ref": "antoninadolgorukova/mmscel-cd45-iso-go-enrichment",
      "title": "MmSCel 🧬:  CD45 iso GO enrichment",
      "source": "live",
      "kernel_id": "35994089"
    },
    {
      "ref": "alexandervc/many-citeseq-02-just-load-full-data",
      "title": "Many CITEseq 02 Just load full data",
      "source": "live",
      "kernel_id": "35986087"
    },
    {
      "ref": "alexandervc/many-citeseq-01-analyze-protein-data",
      "title": "Many CITEseq 01 Analyze Protein Data",
      "source": "live",
      "kernel_id": "35941119"
    },
    {
      "ref": "tttzof351/fi-repeated-lgbm",
      "title": "fi_repeated_lgbm",
      "source": "live",
      "kernel_id": "35539371"
    },
    {
      "ref": "lnalinaf/sex-by-rna-important-features-lasso",
      "title": "sex_by_RNA_important_features_Lasso",
      "source": "live",
      "kernel_id": "35287273"
    },
    {
      "ref": "tttzof351/fi-lgbm",
      "title": "fi_lgbm",
      "source": "live",
      "kernel_id": "35258633"
    },
    {
      "ref": "alexandervc/mmscel-cd-protein-clustering",
      "title": "MmSCel 🧬 CD Protein Clustering",
      "source": "live",
      "kernel_id": "35236146"
    },
    {
      "ref": "visualcomments/multimodal-single-cell-clusters",
      "title": "Multimodal_Single-Cell_clusters",
      "source": "live",
      "kernel_id": "35221803"
    },
    {
      "ref": "antoninadolgorukova/mmscel-difference-in-prot-rna-correlations-p1",
      "title": "MmSCel 🧬: difference in prot&RNA correlations- p1",
      "source": "live",
      "kernel_id": "35113552"
    },
    {
      "ref": "alange/lgbm-fi-vs-lgbm-pca-inverese-transform",
      "title": "LGBM FI vs LGBM_PCA_inverese_transform",
      "source": "live",
      "kernel_id": "35094344"
    },
    {
      "ref": "sonyagrey/mutual-information-sklearn",
      "title": "Mutual information sklearn ",
      "source": "live",
      "kernel_id": "34978070"
    },
    {
      "ref": "jessicajones13/fi-of-cd-rna-based-only-rna-30-40",
      "title": "FI of CD rna based only RNA(30-40)",
      "source": "live",
      "kernel_id": "34683988"
    },
    {
      "ref": "antoninadolgorukova/mmscel-rna-corr-analysis",
      "title": "MmSCel 🧬: RNA corr analysis",
      "source": "live",
      "kernel_id": "34594925"
    },
    {
      "ref": "antoninadolgorukova/mmscel-rna-corr-calculation",
      "title": " MmSCel 🧬: RNA corr calculation",
      "source": "live",
      "kernel_id": "34558349"
    },
    {
      "ref": "mariaminaeva/masp-cells-correlation-analysis",
      "title": "MasP cells correlation analysis",
      "source": "live",
      "kernel_id": "34554501"
    },
    {
      "ref": "lnalinaf/sex-by-proteins-important-features-lasso",
      "title": "sex_by_proteins_important_features_Lasso",
      "source": "live",
      "kernel_id": "34514855"
    },
    {
      "ref": "alexandervc/mmscel-mutual-info-skfeature-look-and-reformat",
      "title": "MmSCel 🧬Mutual Info skfeature look and reformat ",
      "source": "live",
      "kernel_id": "34445209"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-50-60",
      "title": "CD rna based only RNA(50-60)",
      "source": "live",
      "kernel_id": "34414479"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-2-2",
      "title": "RNA_features_for_all_CD_2_2",
      "source": "live",
      "kernel_id": "34395832"
    },
    {
      "ref": "tttzof351/msci-lgbm-abs-runge-kutta",
      "title": "MSCI_lgbm_abs_runge_kutta",
      "source": "live",
      "kernel_id": "34383038"
    },
    {
      "ref": "stasborodynkin/lgbm-fi-vs-lgbm-pca-inverese-transform",
      "title": "LGBM FI vs LGBM_PCA_inverese_transform",
      "source": "live",
      "kernel_id": "34346666"
    },
    {
      "ref": "alexandervc/mmscel-feature-importance-03b-univar-all-target",
      "title": "MmSCel 🧬 Feature Importance 03b Univar All Target",
      "source": "live",
      "kernel_id": "34345539"
    },
    {
      "ref": "alexandervc/mmscel-feature-importance-02c-lasso",
      "title": "MmSCel 🧬 Feature Importance 02c Lasso",
      "source": "live",
      "kernel_id": "34328993"
    },
    {
      "ref": "kolosovanatoliy/notebook9da4c4b40f",
      "title": "notebook9da4c4b40f",
      "source": "live",
      "kernel_id": "34316936"
    },
    {
      "ref": "lizabogdan/cite-differential-expression",
      "title": "CITE_differential_expression",
      "source": "live",
      "kernel_id": "34316552"
    },
    {
      "ref": "antoninadolgorukova/mmscel-pca-seurat-by-cd-correlated-rna",
      "title": "MmSCel 🧬 PCA (Seurat) by CD-correlated RNA",
      "source": "live",
      "kernel_id": "34315413"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-100-110",
      "title": "CD rna based only RNA(100-110)",
      "source": "live",
      "kernel_id": "34288617"
    },
    {
      "ref": "jessicajones13/fork-of-cd-rna-based-only-rna-90-100",
      "title": "Fork of CD rna based only RNA(90-100)",
      "source": "live",
      "kernel_id": "34288547"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-70-80",
      "title": "CD rna based only RNA(70-80)",
      "source": "live",
      "kernel_id": "34288458"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-60-70",
      "title": "CD rna based only RNA(60-70)",
      "source": "live",
      "kernel_id": "34288380"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-40-50",
      "title": "CD rna based only RNA(40-50)",
      "source": "live",
      "kernel_id": "34288251"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-30-40",
      "title": "CD rna based only RNA(30-40)",
      "source": "live",
      "kernel_id": "34287904"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-20-30",
      "title": "CD rna based only RNA(20-30)",
      "source": "live",
      "kernel_id": "34287836"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-10-20",
      "title": "CD rna based only RNA(10-20)",
      "source": "live",
      "kernel_id": "34287672"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-9",
      "title": "RNA_features_for_all_CD_9",
      "source": "live",
      "kernel_id": "34275953"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-8",
      "title": "RNA_features_for_all_CD_8",
      "source": "live",
      "kernel_id": "34275925"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-6",
      "title": "RNA_features_for_all_CD_6",
      "source": "live",
      "kernel_id": "34275788"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-5",
      "title": "RNA_features_for_all_CD_5",
      "source": "live",
      "kernel_id": "34275753"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-2-1-1",
      "title": "RNA_features_for_all_CD_2_1_1",
      "source": "live",
      "kernel_id": "34274844"
    },
    {
      "ref": "antoninadolgorukova/mmscel-pca-seurat-colored-by-cd-and-rna",
      "title": "MmSCel 🧬 PCA (Seurat) colored by CD and RNA",
      "source": "live",
      "kernel_id": "34244186"
    },
    {
      "ref": "dimagromyko/ananysis-of-lasso-and-korr-for-cd44",
      "title": "Ananysis of Lasso and Korr for CD44",
      "source": "live",
      "kernel_id": "34233495"
    },
    {
      "ref": "jessicajones13/cd-rna-based-only-rna-10",
      "title": "CD rna based only RNA(10)",
      "source": "live",
      "kernel_id": "34215912"
    },
    {
      "ref": "geraseva/cite-mkp",
      "title": "CITE_MkP",
      "source": "live",
      "kernel_id": "34199539"
    },
    {
      "ref": "fauzanmohammed/explanatory-model-multimodal-single-cell-integrati",
      "title": "Explanatory model Multimodal Single-Cell Integrati",
      "source": "live",
      "kernel_id": "34195660"
    },
    {
      "ref": "alexandervc/mmscel-feature-importance-03-univariable",
      "title": "MmSCel 🧬 Feature Importance 03 Univariable",
      "source": "live",
      "kernel_id": "34182514"
    },
    {
      "ref": "antoninadolgorukova/mmscel-normalization-methods",
      "title": "MmSCel 🧬: normalization methods",
      "source": "live",
      "kernel_id": "34164466"
    },
    {
      "ref": "alexandervc/mmscel-compare-feature-importances",
      "title": "MmSCel 🧬Compare Feature Importances",
      "source": "live",
      "kernel_id": "34119344"
    },
    {
      "ref": "sonyagrey/rna-features-for-all-cd-1-1",
      "title": "RNA_features_for_all_CD_1_1",
      "source": "live",
      "kernel_id": "34118854"
    },
    {
      "ref": "alexandervc/mmscel-feature-importance-02b-lasso-all-targets",
      "title": "MmSCel 🧬 Feature Importance 02b Lasso all targets",
      "source": "live",
      "kernel_id": "34090835"
    },
    {
      "ref": "lnalinaf/cell-type-by-cite-important-features-lassocv",
      "title": "cell_type_by_cite_important_features_LassoCV",
      "source": "live",
      "kernel_id": "34031534"
    },
    {
      "ref": "dimagromyko/mmscel-feature-importance-cd44-lasso",
      "title": "MmSCel 🧬 Feature Importance CD44 Lasso",
      "source": "live",
      "kernel_id": "34021929"
    },
    {
      "ref": "alexandervc/mmscel-feature-importance-02-lasso",
      "title": "MmSCel 🧬 Feature Importance 02 Lasso",
      "source": "live",
      "kernel_id": "33950299"
    },
    {
      "ref": "kolosovanatoliy/pearson-spearman-corr-cd-all-with-rna",
      "title": "Pearson+Spearman corr CD(all) with RNA",
      "source": "live",
      "kernel_id": "33946622"
    },
    {
      "ref": "alexandervc/mmscel-feature-importance-01-ridge",
      "title": "MmSCel 🧬 Feature Importance 01 Ridge",
      "source": "live",
      "kernel_id": "33938865"
    },
    {
      "ref": "mohamedsameh2000/dl-project",
      "title": "DL_Project",
      "source": "live",
      "kernel_id": "33855541"
    },
    {
      "ref": "sonyagrey/simple-models-for-cds-part1",
      "title": "Simple_models_for_CDs_part1",
      "source": "live",
      "kernel_id": "33835630"
    },
    {
      "ref": "andreylalaley/1simple-models-for-cds-on-nips21",
      "title": "1Simple_models_for_CDs_on_nips21",
      "source": "live",
      "kernel_id": "33834500"
    },
    {
      "ref": "alexandervc/mmscel-genes-enrichment-gseapy-examples-01",
      "title": "MmSCel 🧬 Genes Enrichment GSEAPY examples 01 ",
      "source": "live",
      "kernel_id": "33808339"
    },
    {
      "ref": "tttzof351/msci-hsc-cv",
      "title": "MSCI_hsc_cv",
      "source": "live",
      "kernel_id": "33736609"
    },
    {
      "ref": "alexandervc/mmscel-correlations-cd-vs-rna-v2",
      "title": "MmSCel 🧬 Correlations CD vs RNA V2",
      "source": "live",
      "kernel_id": "33717716"
    },
    {
      "ref": "sonyagrey/simple-models-for-cds2",
      "title": "Simple_models_for_CDs2",
      "source": "live",
      "kernel_id": "33714319"
    },
    {
      "ref": "sannav/mmscel-cell-type",
      "title": "MmSCel cell type",
      "source": "live",
      "kernel_id": "33704970"
    },
    {
      "ref": "alexandervc/mmscel-correlations-cd-vs-rna",
      "title": "MmSCel 🧬 Correlations CD vs RNA ",
      "source": "live",
      "kernel_id": "33674173"
    },
    {
      "ref": "insiyajafferji/cellular-population-dynamics-in-cite-seq",
      "title": "Cellular population dynamics in CITE-seq ",
      "source": "live",
      "kernel_id": "33621601"
    },
    {
      "ref": "insiyajafferji/cite-marker-explore-single-cell-decision-trees",
      "title": "CITE_Marker_Explore&Single_Cell_Decision_Trees",
      "source": "live",
      "kernel_id": "33595897"
    },
    {
      "ref": "alexandervc/mmscel-cd-genes-information",
      "title": "MmSCel 🧬 CD genes information",
      "source": "live",
      "kernel_id": "33593416"
    },
    {
      "ref": "alexandervc/mmscel-models-for-cds",
      "title": "MmSCel 🧬 Models_for_CDs",
      "source": "live",
      "kernel_id": "33591787"
    },
    {
      "ref": "alexandervc/mmscel-starter-citeseq-look-on-selected-genes",
      "title": "MmSCel 🧬 Starter_CITEseq Look on Selected genes",
      "source": "live",
      "kernel_id": "33575872"
    },
    {
      "ref": "alexandervc/mmscel-starter-citeseq",
      "title": "MmSCel 🧬 Starter_CITEseq",
      "source": "live",
      "kernel_id": "33573665"
    },
    {
      "ref": "satyanarayanam/simple-models-for-cds",
      "title": "Simple_models_for_CDs",
      "source": "live",
      "kernel_id": "33573489"
    },
    {
      "ref": "dimagromyko/spearman-gse148127",
      "title": "Spearman_GSE148127",
      "source": "live",
      "kernel_id": "33540155"
    },
    {
      "ref": "alexandervc/genes-entrez-ensembl-symbol-correspondence",
      "title": "Genes Entrez Ensembl Symbol Correspondence",
      "source": "live",
      "kernel_id": "33520130"
    },
    {
      "ref": "sonyagrey/simple-models-for-cds",
      "title": "Simple_models_for_CDs_",
      "source": "live",
      "kernel_id": "33466264"
    },
    {
      "ref": "tttzof351/msci-feature-importance-description",
      "title": "MSCI_feature_importance_description",
      "source": "live",
      "kernel_id": "33439488"
    },
    {
      "ref": "alexandervc/cd-names-to-ensembl-symbol-names-correspondence",
      "title": "CD names to Ensembl/Symbol names correspondence",
      "source": "live",
      "kernel_id": "33438725"
    },
    {
      "ref": "yoshifumimiya/simple-models-for-cds-all-proteins",
      "title": "Simple_models_for_CDs_all_proteins",
      "source": "live",
      "kernel_id": "33416849"
    },
    {
      "ref": "alexandervc/simple-models-for-cds",
      "title": "Simple_models_for_CDs",
      "source": "live",
      "kernel_id": "33409660"
    },
    {
      "ref": "kseniyapetrova/cite-prot-vs-rna",
      "title": "CITE_prot_vs_RNA",
      "source": "live",
      "kernel_id": "33386658"
    },
    {
      "ref": "kseniyapetrova/cite-match-prot-vs-rna",
      "title": "CITE_match_prot_vs_RNA",
      "source": "live",
      "kernel_id": "33382867"
    },
    {
      "ref": "andreylalaley/cell-type-by-rna-important-features",
      "title": "cell_type_by_rna_important_features",
      "source": "live",
      "kernel_id": "33357563"
    },
    {
      "ref": "alexandervc/mmscel-genes-groups-by-name",
      "title": "MmSCel 🧬genes groups by name",
      "source": "live",
      "kernel_id": "33347000"
    },
    {
      "ref": "kolosovanatoliy/silogram-fi-182k-records",
      "title": "Silogram FI 182K records",
      "source": "live",
      "kernel_id": "33328563"
    },
    {
      "ref": "dreamtim1/cite-differential-expression",
      "title": "CITE_differential_expression",
      "source": "live",
      "kernel_id": "33300520"
    },
    {
      "ref": "antoninadolgorukova/mmscel-importat-proteins",
      "title": "MmSCel 🧬: Importat proteins",
      "source": "live",
      "kernel_id": "33242546"
    },
    {
      "ref": "sonyagrey/ridge-model-for-cd36",
      "title": "Ridge_model_for_CD36",
      "source": "live",
      "kernel_id": "33239645"
    },
    {
      "ref": "andreylalaley/cell-type-by-cite-important-features",
      "title": "cell_type_by_cite_important_features",
      "source": "live",
      "kernel_id": "33223130"
    },
    {
      "ref": "visualcomments/from-query-to-graph",
      "title": "from_query_to_graph",
      "source": "live",
      "kernel_id": "33217392"
    },
    {
      "ref": "mariaminaeva/cite-hvg",
      "title": "CITE_HVG",
      "source": "live",
      "kernel_id": "33205349"
    },
    {
      "ref": "jessicajones13/intersection-auc-rna-cd",
      "title": "intersection_auc_rna_cd",
      "source": "live",
      "kernel_id": "33186297"
    },
    {
      "ref": "jessicajones13/rocauc-for-rna-and-ct-full",
      "title": "rocauc_for_rna_and_ct_full",
      "source": "live",
      "kernel_id": "33180420"
    },
    {
      "ref": "kseniyapetrova/cite-differential-expression",
      "title": "CITE_differential_expression",
      "source": "live",
      "kernel_id": "33175794"
    },
    {
      "ref": "antoninadolgorukova/cd36-protein-rna-corr-intersect-visualization",
      "title": "CD36 protein & RNA: Corr Intersect Visualization",
      "source": "live",
      "kernel_id": "33160959"
    },
    {
      "ref": "jessicajones13/rocauc-for-rna-and-ct-112",
      "title": "rocauc_for_rna_and_ct(112)",
      "source": "live",
      "kernel_id": "33158089"
    },
    {
      "ref": "alexandervc/silogram-cd36-feature-importances",
      "title": "Silogram CD36 Feature importances ",
      "source": "live",
      "kernel_id": "33130069"
    },
    {
      "ref": "jessicajones13/rocauc-for-rna-and-ct",
      "title": "rocauc_for_rna_and_ct",
      "source": "live",
      "kernel_id": "33101612"
    },
    {
      "ref": "kseniyapetrova/cite-targets-exploration",
      "title": "CITE_targets_exploration",
      "source": "live",
      "kernel_id": "33084865"
    },
    {
      "ref": "dvmodeler/silver-place-post-processing-transform",
      "title": "Silver Place Post Processing Transform",
      "source": "live",
      "kernel_id": "33072706"
    },
    {
      "ref": "oliverwang15/4th-solution-cite-online-nn",
      "title": "4th Solution Cite Online NN",
      "source": "live",
      "kernel_id": "33057275"
    },
    {
      "ref": "antoninadolgorukova/cd-proteins-rna-corr-expression-dropouts",
      "title": "CD proteins & RNA: corr & expression, dropouts",
      "source": "live",
      "kernel_id": "33050508"
    },
    {
      "ref": "antoninadolgorukova/interesting-rna-in-2-citeseq-datasets",
      "title": "Interesting RNA in 2 CITEseq datasets",
      "source": "live",
      "kernel_id": "33049316"
    },
    {
      "ref": "sannav/mmscel-type-cells",
      "title": "MmSCel type cells ",
      "source": "live",
      "kernel_id": "33009126"
    },
    {
      "ref": "visualcomments/sim-ppi-corr-output",
      "title": "sim_ppi_corr_output",
      "source": "live",
      "kernel_id": "33006016"
    },
    {
      "ref": "alekse1pakhomov/multimodal-singlecell-correlation",
      "title": "Multimodal SingleCell Correlation ",
      "source": "live",
      "kernel_id": "33004052"
    },
    {
      "ref": "lnalinaf/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "33000739"
    },
    {
      "ref": "lizabogdan/mmscel-genes-eda",
      "title": "MmSCel🧬Genes EDA",
      "source": "live",
      "kernel_id": "32980947"
    },
    {
      "ref": "jessicajones13/analys-cd-cell-type",
      "title": "analys_cd&cell_type",
      "source": "live",
      "kernel_id": "32979792"
    },
    {
      "ref": "mariaminaeva/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32977562"
    },
    {
      "ref": "visualcomments/cd-ppi-sim-corr",
      "title": "cd_ppi_sim_corr",
      "source": "live",
      "kernel_id": "32949910"
    },
    {
      "ref": "ambrosm/msci-multiome-time-aspect-2",
      "title": "MSCI Multiome Time Aspect 2",
      "source": "live",
      "kernel_id": "32947772"
    },
    {
      "ref": "antoninadolgorukova/cd-top100-rna-intersections-expression",
      "title": "CD & Top100 RNA: Intersections, expression",
      "source": "live",
      "kernel_id": "32924108"
    },
    {
      "ref": "stasborodynkin/importance-by-boostingaroota",
      "title": "Importance by BoostingARoota",
      "source": "live",
      "kernel_id": "32890177"
    },
    {
      "ref": "geraseva/cell-cycle-markers-in-the-atac-seq-data",
      "title": "cell-cycle markers in the atac-seq data",
      "source": "live",
      "kernel_id": "32846998"
    },
    {
      "ref": "pzarzycki/opm-multi-cite-simple-mlp-models",
      "title": "OPM-Multi-Cite - simple MLP models",
      "source": "live",
      "kernel_id": "32789719"
    },
    {
      "ref": "analyticsbiotech/extremely-simple-randomforestregress-for-cite-data",
      "title": "Extremely simple RandomForestRegress for cite data",
      "source": "live",
      "kernel_id": "32787840"
    },
    {
      "ref": "kseniyapetrova/cite-embeddings-w2v",
      "title": "CITE embeddings w2v",
      "source": "live",
      "kernel_id": "32763356"
    },
    {
      "ref": "ambrosm/msci-citeseq-preprocessing-variants",
      "title": "MSCI CITEseq Preprocessing variants",
      "source": "live",
      "kernel_id": "32757593"
    },
    {
      "ref": "antoninadolgorukova/mmscel-protein-analysis",
      "title": "MmSCel 🧬: protein analysis",
      "source": "live",
      "kernel_id": "32743879"
    },
    {
      "ref": "antoninadolgorukova/fork-of-mmscel-corr-analysis-with-r",
      "title": "Fork of MmSCel 🧬: corr analysis with R",
      "source": "live",
      "kernel_id": "32740185"
    },
    {
      "ref": "tttzof351/msci-cite-feature-importance",
      "title": "MSCI_cite_feature_importance",
      "source": "live",
      "kernel_id": "32684632"
    },
    {
      "ref": "oliverwang15/4th-solution-cite-stacking-predict",
      "title": "4th Solution Cite Stacking Predict",
      "source": "live",
      "kernel_id": "32520102"
    },
    {
      "ref": "natsyst/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32519562"
    },
    {
      "ref": "josecarmona/op-msci-2022-graphical-recap",
      "title": "OP-MSCI 2022 graphical recap",
      "source": "live",
      "kernel_id": "32505889"
    },
    {
      "ref": "oliverwang15/4th-solution-cite-multioutputlgbm",
      "title": "4th Solution Cite MultiOutputLGBM",
      "source": "live",
      "kernel_id": "32496648"
    },
    {
      "ref": "oliverwang15/4th-solution-cite-stacking-train",
      "title": "4th Solution Cite Stacking Train",
      "source": "live",
      "kernel_id": "32491700"
    },
    {
      "ref": "oliverwang15/4th-solution-cite-ray-tune-krr",
      "title": "4th Solution Cite Ray Tune KRR",
      "source": "live",
      "kernel_id": "32466988"
    },
    {
      "ref": "bejeweled/rotate-xy-2nd-place-cite-2d-cnn",
      "title": "[Rotate XY] 2nd_Place_Cite 2D CNN",
      "source": "live",
      "kernel_id": "32462391"
    },
    {
      "ref": "bejeweled/rotate-2nd-place-cite-2d-cnn",
      "title": "[Rotate] 2nd_Place_Cite 2D CNN",
      "source": "live",
      "kernel_id": "32462348"
    },
    {
      "ref": "bejeweled/flip-2nd-place-cite-2d-cnn",
      "title": "[Flip] 2nd_Place_Cite 2D CNN",
      "source": "live",
      "kernel_id": "32462272"
    },
    {
      "ref": "oliverwang15/4th-solution-ensemble",
      "title": "4th Solution Ensemble",
      "source": "live",
      "kernel_id": "32458418"
    },
    {
      "ref": "oliverwang15/4th-solution-cite-gmnn",
      "title": "4th Solution Cite GMNN",
      "source": "live",
      "kernel_id": "32455853"
    },
    {
      "ref": "antoninadolgorukova/prot-rna-corr-analysis-for-2-citeseq-datasets",
      "title": "Prot-RNA corr analysis for 2 CITEseq datasets",
      "source": "live",
      "kernel_id": "32449519"
    },
    {
      "ref": "bejeweled/2nd-place-cite-2d-cnn",
      "title": "2nd_Place_Cite 2D CNN",
      "source": "live",
      "kernel_id": "32448326"
    },
    {
      "ref": "qqzzxxdd/5th-solution-ensemble",
      "title": "5th Solution Ensemble",
      "source": "live",
      "kernel_id": "32439352"
    },
    {
      "ref": "qqzzxxdd/multi-5th-solution-mlp-and-1d-cnn-model",
      "title": "Multi 5th Solution MLP and 1D-CNN Model",
      "source": "live",
      "kernel_id": "32438309"
    },
    {
      "ref": "qqzzxxdd/multi-5th-solution-data-preprocessing",
      "title": "Multi 5th Solution Data Preprocessing",
      "source": "live",
      "kernel_id": "32437658"
    },
    {
      "ref": "qqzzxxdd/cite-5th-solution-mlp-training-part-1",
      "title": "Cite 5th Solution MLP training part 1",
      "source": "live",
      "kernel_id": "32430669"
    },
    {
      "ref": "qqzzxxdd/cite-5th-solution-data-preprocessing",
      "title": "Cite 5th Solution Data Preprocessing",
      "source": "live",
      "kernel_id": "32427499"
    },
    {
      "ref": "kaggledummie007/lesson-how-to-overfit-on-public-lb",
      "title": "LESSON: HOW TO OVERFIT ON PUBLIC LB",
      "source": "live",
      "kernel_id": "32425020"
    },
    {
      "ref": "mhyodo/w2v-feature-sample",
      "title": "w2v_feature_sample",
      "source": "live",
      "kernel_id": "32412740"
    },
    {
      "ref": "llttyy/open-problem-biological-ideas",
      "title": "Open problem - biological ideas",
      "source": "live",
      "kernel_id": "32406605"
    },
    {
      "ref": "niramay/multimodel-single-cell-integration",
      "title": "multimodel-single-cell-integration ",
      "source": "live",
      "kernel_id": "32396830"
    },
    {
      "ref": "paragkale/private-14th-public-6th-multiome-portion",
      "title": "Private 14th/public 6th Multiome portion",
      "source": "live",
      "kernel_id": "32385881"
    },
    {
      "ref": "tavoglc/single-cell-vaes-with-kmers",
      "title": "Single cell VAEs with Kmers",
      "source": "live",
      "kernel_id": "32384425"
    },
    {
      "ref": "tavoglc/multimodal-single-cell-integration-inference",
      "title": "Multimodal Single-Cell Integration Inference",
      "source": "live",
      "kernel_id": "32352341"
    },
    {
      "ref": "senkin13/2nd-place-gru-cite",
      "title": "2nd_Place_GRU_Cite",
      "source": "live",
      "kernel_id": "32350408"
    },
    {
      "ref": "batprem/fork-of-new-ensemble-049059",
      "title": "Fork of new ensemble 049059",
      "source": "live",
      "kernel_id": "32345378"
    },
    {
      "ref": "alexandervc/mmscel-blend-analysis",
      "title": "MmSCel 🧬Blend Analysis",
      "source": "live",
      "kernel_id": "32332677"
    },
    {
      "ref": "ligaoy/all-in-one-citeseq-multiome-with-keras",
      "title": "All in one : CITEseq & Multiome with Keras",
      "source": "live",
      "kernel_id": "32316693"
    },
    {
      "ref": "asimandia/mmscel-blend",
      "title": "MmSCel 🧬Blend",
      "source": "live",
      "kernel_id": "32261112"
    },
    {
      "ref": "stasborodynkin/mmscel-cv-modeling-advanced",
      "title": "MmSCel 🧬 CV&Modeling Advanced",
      "source": "live",
      "kernel_id": "32257961"
    },
    {
      "ref": "alexandervc/mmscel-blend-submit",
      "title": "MmSCel 🧬Blend Submit",
      "source": "live",
      "kernel_id": "32243584"
    },
    {
      "ref": "kseniyapetrova/cite-hvg",
      "title": "CITE_HVG",
      "source": "live",
      "kernel_id": "32241873"
    },
    {
      "ref": "alexandervc/mmscel-blend",
      "title": "MmSCel 🧬Blend",
      "source": "live",
      "kernel_id": "32233416"
    },
    {
      "ref": "bejeweled/citeseq-sklearn-cells-feature-shop",
      "title": "CITEseq sklearn Cells Feature Shop",
      "source": "live",
      "kernel_id": "32209137"
    },
    {
      "ref": "ridwanultanvir/multimodal-single-cell-cross-validation",
      "title": "Multimodal Single-Cell Cross Validation",
      "source": "live",
      "kernel_id": "32139283"
    },
    {
      "ref": "sankkan/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32120969"
    },
    {
      "ref": "ridwanultanvir/g2net-mmscel-cv-scheme",
      "title": "G2Net_MmSCel_CV_scheme",
      "source": "live",
      "kernel_id": "32118090"
    },
    {
      "ref": "initializerz/msci-citeseq-keras",
      "title": "MSCI CITEseq Keras",
      "source": "live",
      "kernel_id": "32117189"
    },
    {
      "ref": "dianapoplacenel/msci-multiome-quickstart-9128bb",
      "title": "MSCI Multiome Quickstart 9128bb",
      "source": "live",
      "kernel_id": "32110983"
    },
    {
      "ref": "kaggledummie007/msci-eda-score-weights-of-cite-multi",
      "title": "MSCI EDA: score weights of CITE & MULTI",
      "source": "live",
      "kernel_id": "32105052"
    },
    {
      "ref": "lsinev/mmscel-cv-modeling-catboost-tuned",
      "title": "MmSCel 🧬 CV&Modeling (Catboost tuned)",
      "source": "live",
      "kernel_id": "32102740"
    },
    {
      "ref": "insiyajafferji/all-protein-associated-rna-markerscorrelation-cite",
      "title": "All Protein Associated RNA MarkersCorrelation-CITE",
      "source": "live",
      "kernel_id": "32101692"
    },
    {
      "ref": "alexandrgusev/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32095656"
    },
    {
      "ref": "sannav/mmscel-lasso-3790-features",
      "title": "MmSCel🧬lasso + 3790_features",
      "source": "live",
      "kernel_id": "32088147"
    },
    {
      "ref": "batprem/binary-of-msci-multiome-tf-keras-b72143",
      "title": "Binary of MSCI - Multiome - TF/Keras  b72143",
      "source": "live",
      "kernel_id": "32079370"
    },
    {
      "ref": "sannav/mmscel-lasso-with-different-features",
      "title": "MmSCel🧬lasso with different features",
      "source": "live",
      "kernel_id": "32074611"
    },
    {
      "ref": "evgen8323/mmscel-cv-modeling-advanced",
      "title": "MmSCel 🧬 CV&Modeling Advanced",
      "source": "live",
      "kernel_id": "32071196"
    },
    {
      "ref": "dinah3906/fork-of-msci-multiome-randomsampling-sp-6b182b",
      "title": "Fork of [MSCI Multiome] RandomSampling | Sp 6b182b",
      "source": "live",
      "kernel_id": "32071065"
    },
    {
      "ref": "insiyajafferji/cite-trainingset-scanpy-marker-expression",
      "title": "CITE-TrainingSET-Scanpy-Marker-Expression",
      "source": "live",
      "kernel_id": "32067662"
    },
    {
      "ref": "lizabogdan/mmscel-bio-motivated-feature-selection-rna",
      "title": "MmSCel🧬 bio motivated feature selection rna",
      "source": "live",
      "kernel_id": "32057473"
    },
    {
      "ref": "hydrophonyx/mmscel-cv-modeling-with-playground-fold-9a4d3a",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold 9a4d3a",
      "source": "live",
      "kernel_id": "32054678"
    },
    {
      "ref": "takanashihumbert/binarized-data-for-multiome-part",
      "title": "Binarized Data For Multiome Part",
      "source": "live",
      "kernel_id": "32053843"
    },
    {
      "ref": "hydrophonyx/mmscel-cv-modeling-with-playground-fold-fd491e",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold fd491e",
      "source": "live",
      "kernel_id": "32053401"
    },
    {
      "ref": "asimandia/lb-0-807-citeseq-tabnet-baseline",
      "title": "[LB:0.807]CITEseq TabNet baseline",
      "source": "live",
      "kernel_id": "32044058"
    },
    {
      "ref": "evgen8323/mmscel-cv-modeling-with-playground-fold",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold)",
      "source": "live",
      "kernel_id": "32040861"
    },
    {
      "ref": "lcbupt/notebook152a49ec8c",
      "title": "notebook152a49ec8c",
      "source": "live",
      "kernel_id": "32024367"
    },
    {
      "ref": "yaroshenko/fork-of-mmscel-crossvalidation-schemes",
      "title": "Fork of MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32021137"
    },
    {
      "ref": "sannav/mmscel-cv-modeling-with-lasso-regression",
      "title": "MmSCel 🧬 CV&Modeling (With lasso regression)",
      "source": "live",
      "kernel_id": "32017181"
    },
    {
      "ref": "asimandia/fork-of-mmscel-crossvalidation-schemes-si-7d9968",
      "title": "Fork of MmSCel 🧬CrossValidation schemes_si 7d9968",
      "source": "live",
      "kernel_id": "32016330"
    },
    {
      "ref": "alexeyshmelev/all-in-one-citeseq-multiome-with-keras",
      "title": "All in one : CITEseq & Multiome with Keras",
      "source": "live",
      "kernel_id": "32016159"
    },
    {
      "ref": "hydrophonyx/mmscel-cv-modeling-with-playground-fold",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold)",
      "source": "live",
      "kernel_id": "32014456"
    },
    {
      "ref": "hydrophonyx/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32005973"
    },
    {
      "ref": "arinatsvetkova/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "32005576"
    },
    {
      "ref": "yoshifumimiya/citeseq-target-analysis-anova-vol-2",
      "title": "CiteSeq Target Analysis(ANOVA vol.2)",
      "source": "live",
      "kernel_id": "32003927"
    },
    {
      "ref": "antoninadolgorukova/mmscel-basic-analysis-with-seurat",
      "title": "MmSCel 🧬 Basic analysis with Seurat",
      "source": "live",
      "kernel_id": "32002861"
    },
    {
      "ref": "alexandervc/mmscel-cv-modeling-advanced",
      "title": "MmSCel 🧬 CV&Modeling Advanced",
      "source": "live",
      "kernel_id": "31993838"
    },
    {
      "ref": "ovefrlow/final-template",
      "title": "Final Template",
      "source": "live",
      "kernel_id": "31991830"
    },
    {
      "ref": "leonidafanasev/preprocessing-open-problems-multimodal",
      "title": "Preprocessing/open-problems-multimodal",
      "source": "live",
      "kernel_id": "31981997"
    },
    {
      "ref": "mpwolke/proteins-rna-leidenalg-scanpy",
      "title": "Proteins/RNA Leidenalg & Scanpy",
      "source": "live",
      "kernel_id": "31977410"
    },
    {
      "ref": "kaggledummie007/cite-pca-feature-importance",
      "title": "CITE PCA feature importance",
      "source": "live",
      "kernel_id": "31961372"
    },
    {
      "ref": "yanasem/mmscel-crossvalidation-schemes-sim-featur-26bc84",
      "title": "MmSCel 🧬CrossValidation schemes_sim_featur 26bc84",
      "source": "live",
      "kernel_id": "31961098"
    },
    {
      "ref": "sannav/mmscel-apoptotic-genes-analyse",
      "title": "MmSCel🧬apoptotic genes analyse",
      "source": "live",
      "kernel_id": "31957946"
    },
    {
      "ref": "saraswatitiwari/single-cell-analysis",
      "title": "Single cell analysis",
      "source": "live",
      "kernel_id": "31955230"
    },
    {
      "ref": "lizabogdan/mmscel-bio-motivated-feature-selection-citeseq",
      "title": "MmSCel🧬 bio motivated feature selection CITEseq",
      "source": "live",
      "kernel_id": "31932682"
    },
    {
      "ref": "stasborodynkin/mmscel-cv-modeling-with-playground-3790-feat",
      "title": "MmSCel 🧬 CV&Modeling With Playground 3790 feat ",
      "source": "live",
      "kernel_id": "31930567"
    },
    {
      "ref": "sannav/mmscel-crossvalidation-schemes-2aa986",
      "title": "MmSCel 🧬CrossValidation schemes 2aa986",
      "source": "live",
      "kernel_id": "31930331"
    },
    {
      "ref": "yoshifumimiya/citeseq-target-analysis-blom-function",
      "title": "CiteSeq Target Analysis(Blom function)",
      "source": "live",
      "kernel_id": "31929341"
    },
    {
      "ref": "cosjo11/fork-of-mmscel-bio-motivated-feature-selection-c",
      "title": "Fork of MmSCel🧬 bio motivated feature selection C",
      "source": "live",
      "kernel_id": "31927667"
    },
    {
      "ref": "sonyagrey/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31909592"
    },
    {
      "ref": "alekse1pakhomov/mmscel-cv-modeling-with-playground-fold",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold)",
      "source": "live",
      "kernel_id": "31904349"
    },
    {
      "ref": "batprem/10-of-cite-tf-keras-parallel-co",
      "title": "10 of CITE- TF/Keras parallel co",
      "source": "live",
      "kernel_id": "31903824"
    },
    {
      "ref": "geraseva/mmscel-cv-modeling-with-playground-fold-dart",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold) dart",
      "source": "live",
      "kernel_id": "31895573"
    },
    {
      "ref": "hnthnt/multiome-cite-catboostregressor",
      "title": "[Multiome + Cite] CatBoostRegressor",
      "source": "live",
      "kernel_id": "31892912"
    },
    {
      "ref": "bejeweled/mmscel-citeseq-targets-eda",
      "title": "MMSCel CITEseq targets EDA",
      "source": "live",
      "kernel_id": "31888241"
    },
    {
      "ref": "visualcomments/mmscel-crossvalidation-schemes-features-select",
      "title": "MmSCel 🧬CrossValidation schemes_features_select",
      "source": "live",
      "kernel_id": "31887101"
    },
    {
      "ref": "yaroshenko/mmscel-cv-modeling-with-playground-fold",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold)",
      "source": "live",
      "kernel_id": "31875674"
    },
    {
      "ref": "bejeweled/mmscel-all-targs-modeling-playground-fold",
      "title": "MmSCel 🧬 All Targs Modeling (Playground Fold)",
      "source": "live",
      "kernel_id": "31872774"
    },
    {
      "ref": "yoshifumimiya/citeseq-target-analysis-wgcna",
      "title": "CiteSeq Target Analysis (WGCNA)",
      "source": "live",
      "kernel_id": "31859445"
    },
    {
      "ref": "shengzn/szn-openproblems-dataprocess2",
      "title": "szn-openproblems-dataprocess2",
      "source": "live",
      "kernel_id": "31850295"
    },
    {
      "ref": "asimandia/mmscel-crossvalidation-schemes-sim-featur-26bc84",
      "title": "MmSCel 🧬CrossValidation schemes_sim_featur 26bc84",
      "source": "live",
      "kernel_id": "31832636"
    },
    {
      "ref": "bejeweled/mmscel-hypopt-cb-with-playground-fold",
      "title": "MmSCel 🧬 HypOpt CB (With Playground Fold",
      "source": "live",
      "kernel_id": "31832329"
    },
    {
      "ref": "user327934/mmscel-cv-modeling-with-playground-lgbm-opt",
      "title": "MmSCel 🧬 CV&Modeling (With Playground) lgbm + opt",
      "source": "live",
      "kernel_id": "31831596"
    },
    {
      "ref": "marijabruttan/mmscel-cv-modeling-lbg-multioutput",
      "title": "MmSCel 🧬 CV&Modeling_LBG_MultiOutPut",
      "source": "live",
      "kernel_id": "31826296"
    },
    {
      "ref": "tttzof351/mmscel-crossvalidation-schemes-193f49",
      "title": "MmSCel 🧬CrossValidation schemes 193f49",
      "source": "live",
      "kernel_id": "31824070"
    },
    {
      "ref": "tavoglc/single-cell-dimensionality-reduction-with-vaes",
      "title": "Single Cell Dimensionality reduction with VAEs",
      "source": "live",
      "kernel_id": "31816187"
    },
    {
      "ref": "hiramcho/citeseq-multiome-with-keras-mixture-of-experts",
      "title": "CITEseq & Multiome with Keras Mixture of Experts",
      "source": "live",
      "kernel_id": "31812934"
    },
    {
      "ref": "batprem/fork-of-mean-fork-of-msci-multiome-tf-k-263085",
      "title": "Fork of mean Fork of MSCI - Multiome - TF/K 263085",
      "source": "live",
      "kernel_id": "31809554"
    },
    {
      "ref": "geraseva/add-barcodes-to-dataset",
      "title": "add barcodes to dataset",
      "source": "live",
      "kernel_id": "31800273"
    },
    {
      "ref": "annanparfenenkova/enrichment-analysis",
      "title": "Enrichment analysis",
      "source": "live",
      "kernel_id": "31799836"
    },
    {
      "ref": "evgenibikov/mmscel-cv-modeling-with-playground-fold-eb",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold) EB",
      "source": "live",
      "kernel_id": "31798427"
    },
    {
      "ref": "evgenibikov/mmscel-crossvalidation-schemes-eb",
      "title": "MmSCel 🧬CrossValidation schemes (EB)",
      "source": "live",
      "kernel_id": "31796416"
    },
    {
      "ref": "tttzof351/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31791131"
    },
    {
      "ref": "marijabruttan/mmscel-crossval-ridge",
      "title": "MmSCel 🧬CrossVal Ridge",
      "source": "live",
      "kernel_id": "31780036"
    },
    {
      "ref": "dimagromyko/gse148127-lasso-engineering",
      "title": "GSE148127 Lasso engineering ",
      "source": "live",
      "kernel_id": "31776700"
    },
    {
      "ref": "stasborodynkin/citeseq-keras-with-cv-multiome-5x5-f680a9",
      "title": "CITEseq Keras with CV + Multiome 5x5 f680a9",
      "source": "live",
      "kernel_id": "31773437"
    },
    {
      "ref": "bejeweled/mmscel-hypopt-lgb-with-playground-fold",
      "title": "MmSCel 🧬 HypOpt LGB (With Playground Fold)",
      "source": "live",
      "kernel_id": "31769514"
    },
    {
      "ref": "yoshifumimiya/relationship-between-the-two-targets",
      "title": "Relationship between the two TARGETS",
      "source": "live",
      "kernel_id": "31767641"
    },
    {
      "ref": "bejeweled/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31764690"
    },
    {
      "ref": "andreylalaley/cite-seq-with-de",
      "title": "Cite_seq_with_DE",
      "source": "live",
      "kernel_id": "31761299"
    },
    {
      "ref": "dianapoplacenel/diana-baseline-graph",
      "title": "Diana Baseline Graph",
      "source": "live",
      "kernel_id": "31759318"
    },
    {
      "ref": "visualcomments/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31745145"
    },
    {
      "ref": "alexandervc/mmscel-cv-modeling-with-playground-fold",
      "title": "MmSCel 🧬 CV&Modeling (With Playground Fold)",
      "source": "live",
      "kernel_id": "31736319"
    },
    {
      "ref": "stasborodynkin/mmscel-crossvalidation-schemes-elastic",
      "title": "MmSCel 🧬CrossValidation schemes_elastic",
      "source": "live",
      "kernel_id": "31732502"
    },
    {
      "ref": "lizabogdan/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31732431"
    },
    {
      "ref": "kiranmayivedantham/msci-citeseq-quickstart",
      "title": "MSCI CITEseq Quickstart",
      "source": "live",
      "kernel_id": "31712456"
    },
    {
      "ref": "stasborodynkin/fork-of-mmscel-crossvalidation-schemes-multiext",
      "title": "Fork of MmSCel 🧬CrossValidation schemes multiext ",
      "source": "live",
      "kernel_id": "31708069"
    },
    {
      "ref": "astrik/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31707180"
    },
    {
      "ref": "arteziak/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31703984"
    },
    {
      "ref": "evgen8323/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31692573"
    },
    {
      "ref": "stasborodynkin/fork-of-mmscel-crossvalidation-schemes-multio",
      "title": "Fork of MmSCel 🧬CrossValidation schemes multio",
      "source": "live",
      "kernel_id": "31687412"
    },
    {
      "ref": "ergardtalice/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31686396"
    },
    {
      "ref": "leonidafanasev/mmscel-linermodel",
      "title": "MmSCel 🧬Linermodel",
      "source": "live",
      "kernel_id": "31671848"
    },
    {
      "ref": "cosjo11/mmscel-bio-motivated-feature-selection-citeseq",
      "title": "MmSCel🧬 bio motivated feature selection CITEseq",
      "source": "live",
      "kernel_id": "31671425"
    },
    {
      "ref": "jessicajones13/mmscel-som-try",
      "title": "MmSCel 🧬SOM(try)",
      "source": "live",
      "kernel_id": "31671307"
    },
    {
      "ref": "asimandia/blending-of-two-inputs-model-and-ridge-e64c61",
      "title": "Blending of two inputs model and ridge e64c61",
      "source": "live",
      "kernel_id": "31670345"
    },
    {
      "ref": "yaroshenko/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31661239"
    },
    {
      "ref": "geraseva/mmscel-knnregressor",
      "title": "MmSCel 🧬KNNRegressor",
      "source": "live",
      "kernel_id": "31655330"
    },
    {
      "ref": "batprem/gb-of-mean-fork-of-msci-multiome-tf",
      "title": "GB of mean Fork of MSCI - Multiome - TF/",
      "source": "live",
      "kernel_id": "31647104"
    },
    {
      "ref": "andreylalaley/blending-of-two-inputs-model-and-ridge",
      "title": "Blending of two inputs model and ridge",
      "source": "live",
      "kernel_id": "31633047"
    },
    {
      "ref": "asimandia/mmscel-crossvalidation-schemes-inference",
      "title": "MmSCel 🧬CrossValidation schemes Inference",
      "source": "live",
      "kernel_id": "31621995"
    },
    {
      "ref": "stasborodynkin/mmscel-crossvalidation-schemes-kernelridge",
      "title": "MmSCel 🧬CrossValidation schemes kernelRidge",
      "source": "live",
      "kernel_id": "31612503"
    },
    {
      "ref": "nastyakiryak/mmscel-crossvalidation-schemes-v",
      "title": "MmSCel 🧬CrossValidation schemes_v",
      "source": "live",
      "kernel_id": "31599305"
    },
    {
      "ref": "kirillpetrikov/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31599140"
    },
    {
      "ref": "nastyakiryak/mmscel-dca-features-load-example-cell-cycle-v",
      "title": "MmSCel🧬DCA features. Load example, cell cycle_v",
      "source": "live",
      "kernel_id": "31598356"
    },
    {
      "ref": "olegzakh/converting-mlt-target-data-into-a-frequency-matrix",
      "title": "Converting MLT-TARGET data into a frequency matrix",
      "source": "live",
      "kernel_id": "31596876"
    },
    {
      "ref": "dariaborodko/mmscel-bio-motivated-feature-selection-citeseq",
      "title": "MmSCel🧬 bio motivated feature selection CITEseq",
      "source": "live",
      "kernel_id": "31596213"
    },
    {
      "ref": "kirillpetrikov/mmscel-dca-features-load-example-cell-cycle",
      "title": "MmSCel🧬DCA features. Load example, cell cycle ",
      "source": "live",
      "kernel_id": "31595880"
    },
    {
      "ref": "dariaborodko/mmscel-load-example-cell-cycle",
      "title": "MmSCel Load example, cell cycle ",
      "source": "live",
      "kernel_id": "31595169"
    },
    {
      "ref": "asimandia/transformers-for-genes",
      "title": "Transformers for genes ",
      "source": "live",
      "kernel_id": "31572563"
    },
    {
      "ref": "alexanderkalmykov/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31554454"
    },
    {
      "ref": "asimandia/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31545446"
    },
    {
      "ref": "annanparfenenkova/magic-dataset-with-pathways-or-families-of-genes",
      "title": "Magic dataset with pathways or families of genes",
      "source": "live",
      "kernel_id": "31544907"
    },
    {
      "ref": "visualcomments/mmscel-crossvalidation-schemes-sim-features",
      "title": "MmSCel 🧬CrossValidation schemes_sim_features",
      "source": "live",
      "kernel_id": "31542783"
    },
    {
      "ref": "user327934/mmscel-crossvalidation-schemes-with-boosting",
      "title": "MmSCel 🧬CrossValidation schemes with boosting",
      "source": "live",
      "kernel_id": "31539298"
    },
    {
      "ref": "andreylalaley/model-two-inputs-cite-search-for-inputs",
      "title": "model_two_inputs_cite_search_for_inputs",
      "source": "live",
      "kernel_id": "31503603"
    },
    {
      "ref": "geraseva/mmscel-dca-features-load-example-cell-cycle",
      "title": "MmSCel🧬DCA features. Load example, cell cycle ",
      "source": "live",
      "kernel_id": "31499484"
    },
    {
      "ref": "stasborodynkin/use-h5py-for-huge-h5-file-backing-it-on-disk",
      "title": "Use h5py for huge h5 file backing it on disk",
      "source": "live",
      "kernel_id": "31468948"
    },
    {
      "ref": "songqizhou/private-29th-public-4th-s-basical-single-model-nn",
      "title": "Private 29th|public 4th's basical single model(NN)",
      "source": "live",
      "kernel_id": "31447398"
    },
    {
      "ref": "qqzzxxdd/cite-5th-solution-lgbm-training",
      "title": "Cite 5th Solution LGBM training",
      "source": "live",
      "kernel_id": "31446286"
    },
    {
      "ref": "artemfedorov/eda-notebook",
      "title": "EDA_Notebook",
      "source": "live",
      "kernel_id": "31420208"
    },
    {
      "ref": "stasborodynkin/mmscel-feature-generation-by-dimreductio-stan",
      "title": "MmSCel 🧬 Feature Generation by DimReductio Stan",
      "source": "live",
      "kernel_id": "31408625"
    },
    {
      "ref": "alekse1pakhomov/mmscel-magic-features-load-example-cell-615666",
      "title": "MmSCel🧬MAGIC features. Load example, cell  615666",
      "source": "live",
      "kernel_id": "31397894"
    },
    {
      "ref": "mehrankazeminia/5-5-msci22-ensembling-citeseq",
      "title": "[5/5] MSCI22 - Ensembling [CITEseq]",
      "source": "live",
      "kernel_id": "31397131"
    },
    {
      "ref": "claptar/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31395840"
    },
    {
      "ref": "alekse1pakhomov/mmscel-magic-features-load-example-cell-cycle",
      "title": "MmSCel🧬MAGIC features. Load example, cell cycle ",
      "source": "live",
      "kernel_id": "31392292"
    },
    {
      "ref": "hnthnt/multiome-5-x-5-krr",
      "title": "[Multiome] 5 x 5 + KRR",
      "source": "live",
      "kernel_id": "31387241"
    },
    {
      "ref": "mehrankazeminia/4-5-msci22-baseline-knn-model-citeseq",
      "title": "[4/5] MSCI22 - Baseline: KNN Model [CITEseq]",
      "source": "live",
      "kernel_id": "31383252"
    },
    {
      "ref": "anigrigor/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31382919"
    },
    {
      "ref": "user327934/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31380396"
    },
    {
      "ref": "dmisky/mmscel-crossvalidation-schemes-v0-1",
      "title": "MmSCel 🧬CrossValidation schemes v0.1",
      "source": "live",
      "kernel_id": "31374488"
    },
    {
      "ref": "insiyajafferji/cite-seq-data-rna-protein-correlations-trajectory",
      "title": "CITE-seq-Data-RNA-Protein-Correlations-trajectory",
      "source": "live",
      "kernel_id": "31366875"
    },
    {
      "ref": "bejeweled/siteseq-corr-feature-selection",
      "title": "SITEseq corr feature selection",
      "source": "live",
      "kernel_id": "31363575"
    },
    {
      "ref": "grac2h5/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "31363390"
    },
    {
      "ref": "andreylalaley/citeseq-keras-with-cv-multiome-5x5",
      "title": "CITEseq Keras with CV + Multiome 5x5",
      "source": "live",
      "kernel_id": "31349551"
    },
    {
      "ref": "tefvodo/mmscel-bio-motivated-feature-selection-citeseq",
      "title": "MmSCel🧬 bio motivated feature selection CITEseq",
      "source": "live",
      "kernel_id": "31345842"
    },
    {
      "ref": "insiyajafferji/cite-seq-data-analysis-exploration",
      "title": "CITE-seq-data-analysis-exploration",
      "source": "live",
      "kernel_id": "31334058"
    },
    {
      "ref": "annanparfenenkova/ridge-with-reactome-features",
      "title": "Ridge with reactome features",
      "source": "live",
      "kernel_id": "31331510"
    },
    {
      "ref": "bobfromjapan/msci-merging-submission",
      "title": "MSCI merging submission",
      "source": "live",
      "kernel_id": "31313865"
    },
    {
      "ref": "shivanshuman/lgbm-baseline-msci-citeseq",
      "title": "【LGBM Baseline】MSCI CITEseq",
      "source": "live",
      "kernel_id": "31296043"
    },
    {
      "ref": "geraseva/magic-correlation",
      "title": "magic correlation",
      "source": "live",
      "kernel_id": "31239987"
    },
    {
      "ref": "geraseva/cd-transcripts-visual-analysis-eda",
      "title": "CD transcripts visual analysis (EDA)",
      "source": "live",
      "kernel_id": "31227577"
    },
    {
      "ref": "batprem/lgbm-hardcore-ensemble-higher-12000",
      "title": "lgbm hardcore ensemble higher 12000",
      "source": "live",
      "kernel_id": "31188794"
    },
    {
      "ref": "alexandervc/mmscel-meta-information-citeseq",
      "title": "MmSCel 🧬 Meta Information CITEseq",
      "source": "live",
      "kernel_id": "31186759"
    },
    {
      "ref": "batprem/lgbm-hardcore-ensemble-lower-12000",
      "title": "lgbm hardcore ensemble lower 12000",
      "source": "live",
      "kernel_id": "31181333"
    },
    {
      "ref": "alexandervc/mmscel-feature-generation-by-dimreductions",
      "title": "MmSCel 🧬 Feature Generation by DimReductions",
      "source": "live",
      "kernel_id": "31172401"
    },
    {
      "ref": "kaggledummie007/cite-targets-visual-analysis-eda",
      "title": "CITE targets visual analysis (EDA)",
      "source": "live",
      "kernel_id": "31160926"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-23000-23418",
      "title": "Multiome LGBTM Hardcore 23000-23418",
      "source": "live",
      "kernel_id": "31149389"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-22000-23000",
      "title": "Multiome LGBTM Hardcore 22000-23000",
      "source": "live",
      "kernel_id": "31149366"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-21000-22000",
      "title": "Multiome LGBTM Hardcore 21000-22000",
      "source": "live",
      "kernel_id": "31149305"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-20000-21000",
      "title": "Multiome LGBTM Hardcore 20000-21000",
      "source": "live",
      "kernel_id": "31149246"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-19000-20000",
      "title": "Multiome LGBTM Hardcore 19000-20000",
      "source": "live",
      "kernel_id": "31149205"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-18000-19000",
      "title": "Multiome LGBTM Hardcore 18000-19000",
      "source": "live",
      "kernel_id": "31139607"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-17000-18000",
      "title": "Multiome LGBTM Hardcore 17000-18000",
      "source": "live",
      "kernel_id": "31138969"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-16000-17000",
      "title": "Multiome LGBTM Hardcore 16000-17000",
      "source": "live",
      "kernel_id": "31136866"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-15000-16000",
      "title": "Multiome LGBTM Hardcore 15000-16000",
      "source": "live",
      "kernel_id": "31136766"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-14000-15000",
      "title": "Multiome LGBTM Hardcore 14000-15000",
      "source": "live",
      "kernel_id": "31136662"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-13000-14000",
      "title": "Multiome LGBTM Hardcore 13000-14000",
      "source": "live",
      "kernel_id": "31136613"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-12000-13000",
      "title": "Multiome LGBTM Hardcore 12000-13000",
      "source": "live",
      "kernel_id": "31136578"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-11000-12000",
      "title": "Multiome LGBTM Hardcore 11000-12000",
      "source": "live",
      "kernel_id": "31136545"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-10000-11000",
      "title": "Multiome LGBTM Hardcore 10000-11000",
      "source": "live",
      "kernel_id": "31136509"
    },
    {
      "ref": "kaggledummie007/cite-targets-vs-features-correlation",
      "title": "CITE Targets vs Features correlation",
      "source": "live",
      "kernel_id": "31128583"
    },
    {
      "ref": "mehrankazeminia/3-5-msci22-baseline-separate-models-citeseq",
      "title": "[3/5] MSCI22 - Baseline: Separate Models [CITEseq]",
      "source": "live",
      "kernel_id": "31121400"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-9000-10000",
      "title": "Multiome LGBTM Hardcore 9000-10000",
      "source": "live",
      "kernel_id": "31119346"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-8000-9000",
      "title": "Multiome LGBTM Hardcore 8000-9000",
      "source": "live",
      "kernel_id": "31119320"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-7000-8000",
      "title": "Multiome LGBTM Hardcore 7000-8000",
      "source": "live",
      "kernel_id": "31119212"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-6000-7000",
      "title": "Multiome LGBTM Hardcore 6000-7000",
      "source": "live",
      "kernel_id": "31119187"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-5000-6000",
      "title": "Multiome LGBTM Hardcore 5000-6000",
      "source": "live",
      "kernel_id": "31119129"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-4000-5000",
      "title": "Multiome LGBTM Hardcore 4000-5000",
      "source": "live",
      "kernel_id": "31115547"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-3000-4000",
      "title": "Multiome LGBTM Hardcore 3000-4000",
      "source": "live",
      "kernel_id": "31115502"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-2000-3000",
      "title": "Multiome LGBTM Hardcore 2000-3000",
      "source": "live",
      "kernel_id": "31115312"
    },
    {
      "ref": "hangkaiyou/multiome-with-keras-ensemble",
      "title": "Multiome with Keras & ensemble",
      "source": "live",
      "kernel_id": "31111523"
    },
    {
      "ref": "kirkdco/msci-multiome-sparse-datasets",
      "title": "MSCI Multiome - Sparse Datasets",
      "source": "live",
      "kernel_id": "31106898"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-1000-2000",
      "title": "Multiome LGBTM Hardcore 1000-2000",
      "source": "live",
      "kernel_id": "31105869"
    },
    {
      "ref": "batprem/multiome-lgbtm-hardcore-0-1000",
      "title": "Multiome LGBTM Hardcore 0-1000",
      "source": "live",
      "kernel_id": "31105728"
    },
    {
      "ref": "alexandervc/mmscel-bio-motivated-feature-selection-citeseq",
      "title": "MmSCel🧬 bio motivated feature selection CITEseq",
      "source": "live",
      "kernel_id": "31040230"
    },
    {
      "ref": "jsmithperera/citeseq-keras-multiome-5x5",
      "title": "CITEseq Keras + Multiome 5x5",
      "source": "live",
      "kernel_id": "31009543"
    },
    {
      "ref": "riow1983/eda-to-see-the-sampling-result-of-multiome",
      "title": "EDA to see the sampling result of Multiome",
      "source": "live",
      "kernel_id": "30940685"
    },
    {
      "ref": "usamabalochhh/single-cell-integration-explore-data",
      "title": "Single-Cell Integration: Explore Data 🧬",
      "source": "live",
      "kernel_id": "30901289"
    },
    {
      "ref": "alexandervc/mmscel-crossvalidation-schemes",
      "title": "MmSCel 🧬CrossValidation schemes",
      "source": "live",
      "kernel_id": "30881029"
    },
    {
      "ref": "bejeweled/multiome-rf-feature-selection",
      "title": "Multiome RF feature selection",
      "source": "live",
      "kernel_id": "30880222"
    },
    {
      "ref": "olegzakh/transform-input-by-grouping-features-multiome",
      "title": "Transform input by grouping features (Multiome)",
      "source": "live",
      "kernel_id": "30857183"
    },
    {
      "ref": "alexandervc/mmscel-analysis-of-evaluation-and-submission",
      "title": "MmSCel 🧬Analysis of EVALUATION and SUBMISSION",
      "source": "live",
      "kernel_id": "30754292"
    },
    {
      "ref": "alexandervc/mmscel-magic-features-load-example-cell-cycle",
      "title": "MmSCel🧬MAGIC features. Load example, cell cycle ",
      "source": "live",
      "kernel_id": "30745874"
    },
    {
      "ref": "viictte/pytorch-multi",
      "title": "pytorch-multi",
      "source": "live",
      "kernel_id": "30661278"
    },
    {
      "ref": "viictte/pytorch-cite",
      "title": "pytorch-cite",
      "source": "live",
      "kernel_id": "30660630"
    },
    {
      "ref": "viictte/data-process",
      "title": "DATA PROCESS",
      "source": "live",
      "kernel_id": "30659192"
    },
    {
      "ref": "geraseva/denoised-parameters",
      "title": "denoised_parameters",
      "source": "live",
      "kernel_id": "30613856"
    },
    {
      "ref": "alexandervc/mmscel-eda-targets-citeseq-02",
      "title": "MmSCel🧬 EDA Targets CITEseq 02",
      "source": "live",
      "kernel_id": "30562817"
    },
    {
      "ref": "shams1/generating-all-correlations-inputs-targets",
      "title": "Generating all correlations inputs/targets",
      "source": "live",
      "kernel_id": "30554426"
    },
    {
      "ref": "alexandervc/mmscel-atac-seq-eda02-sums-counts-day-dependence",
      "title": "MmSCel🧬ATAC-seq EDA02 sums,counts-day dependence",
      "source": "live",
      "kernel_id": "30523805"
    },
    {
      "ref": "alexandervc/mmscel-count-nonzero-genes-decrease-daily",
      "title": "MmSCel🧬 Count nonzero genes - decrease daily",
      "source": "live",
      "kernel_id": "30514887"
    },
    {
      "ref": "pourchot/all-in-one-citeseq-multiome-with-keras",
      "title": "All in one : CITEseq & Multiome with Keras",
      "source": "live",
      "kernel_id": "30490788"
    },
    {
      "ref": "ahmedewida/multimodal-single-cell-integration-ensembling",
      "title": "Multimodal Single-Cell Integration-ensembling",
      "source": "live",
      "kernel_id": "30488943"
    },
    {
      "ref": "alexandervc/mmscel-genes-eda",
      "title": "MmSCel🧬Genes EDA",
      "source": "live",
      "kernel_id": "30479639"
    },
    {
      "ref": "jsmithperera/citeseq-ambrosm-s-x-keras-lgbm-tabnet",
      "title": "CITEseq AmbrosM's X+[Keras+lgbm+TabNet]",
      "source": "live",
      "kernel_id": "30478826"
    },
    {
      "ref": "josecarmona/msci22-keep-in-mind-2in1",
      "title": "MSCI22 keep in mind: 2in1",
      "source": "live",
      "kernel_id": "30474714"
    },
    {
      "ref": "jsmithperera/citeseq-tabnet",
      "title": "CITEseq TabNet",
      "source": "live",
      "kernel_id": "30468087"
    },
    {
      "ref": "alexandervc/mmscel-eda-multiome-targets-01-cell-cycle",
      "title": "MmSCel🧬EDA Multiome targets 01 cell cycle",
      "source": "live",
      "kernel_id": "30458431"
    },
    {
      "ref": "kaggledummie007/cite-keras-optuna",
      "title": "CITE Keras + Optuna",
      "source": "live",
      "kernel_id": "30444463"
    },
    {
      "ref": "mehrankazeminia/2-5-msci22-splitting-up1",
      "title": "[2/5] MSCI22 - Splitting up1",
      "source": "live",
      "kernel_id": "30422691"
    },
    {
      "ref": "alexandervc/mmscel-atac-seq-eda-01-dimred-visualizations",
      "title": "MmSCel🧬 ATAC-seq EDA 01 dimred, visualizations",
      "source": "live",
      "kernel_id": "30417354"
    },
    {
      "ref": "norifumiirie/simple-submission-mean-by-gene-id-and-cell-type",
      "title": "Simple Submission - Mean by Gene_Id and Cell_Type",
      "source": "live",
      "kernel_id": "30414990"
    },
    {
      "ref": "konomuabe/eda-citeseq-correlation-heatmap",
      "title": "EDA:CITEseq correlation heatmap",
      "source": "live",
      "kernel_id": "30408808"
    },
    {
      "ref": "jsmithperera/citeseq-ambrosm-s-x-lgbm",
      "title": "CITEseq AmbrosM's X + lgbm",
      "source": "live",
      "kernel_id": "30402137"
    },
    {
      "ref": "alexandervc/mmscel-create-h5ad-anndata-for-multiome-targets",
      "title": "MmSCel🧬create h5ad anndata for Multiome targets",
      "source": "live",
      "kernel_id": "30397176"
    },
    {
      "ref": "konomuabe/eda-multiome-targets",
      "title": "EDA:Multiome targets",
      "source": "live",
      "kernel_id": "30380340"
    },
    {
      "ref": "nigani/mean-target-solution",
      "title": "mean_target_solution",
      "source": "live",
      "kernel_id": "30371371"
    },
    {
      "ref": "jsmithperera/citeseq-ambrosm-s-x-keras-lgbm",
      "title": "CITEseq AmbrosM's X + [Keras + lgbm]",
      "source": "live",
      "kernel_id": "30368141"
    },
    {
      "ref": "kalininvladislav/eda-open-problems",
      "title": "EDA open problems",
      "source": "live",
      "kernel_id": "30363147"
    },
    {
      "ref": "stautxie/svd-based-decomposition-for-cite-prediction",
      "title": "SVD-based decomposition for CITE prediction",
      "source": "live",
      "kernel_id": "30348718"
    },
    {
      "ref": "xiafire/msci-multiome-5-steps-x-5-folds-25-models",
      "title": "[MSCI Multiome] 5 steps x 5 folds = 25 models",
      "source": "live",
      "kernel_id": "30348155"
    },
    {
      "ref": "alexandervc/heatmap-of-atac-seq-multiome-data",
      "title": "Heatmap of  ATAC-seq (Multiome) Data",
      "source": "live",
      "kernel_id": "30341243"
    },
    {
      "ref": "stautxie/svd-decomposition-for-multiomer-prediction",
      "title": "SVD Decomposition for Multiomer Prediction",
      "source": "live",
      "kernel_id": "30319329"
    },
    {
      "ref": "stautxie/lower-memory-footprint-via-python-sparse-matrix",
      "title": "Lower Memory footprint via Python Sparse Matrix",
      "source": "live",
      "kernel_id": "30318767"
    },
    {
      "ref": "sautiksamui/multimodal-sinle-cell-integration",
      "title": "Multimodal Sinle-cell Integration",
      "source": "live",
      "kernel_id": "30310138"
    },
    {
      "ref": "fabiencrom/msci-correlations-eda-citeseq",
      "title": "MSCI Correlations EDA CITEseq",
      "source": "live",
      "kernel_id": "30307981"
    },
    {
      "ref": "fabiencrom/msci-generating-all-correlations-inputs-targets",
      "title": "MSCI: Generating all correlations inputs/targets",
      "source": "live",
      "kernel_id": "30305000"
    },
    {
      "ref": "fabiencrom/msci-correlations-eda-multiome",
      "title": "MSCI Correlations EDA Multiome",
      "source": "live",
      "kernel_id": "30283089"
    },
    {
      "ref": "tamaryo/lb-0-807-citeseq-tabnet-baseline",
      "title": "[LB:0.807]CITEseq TabNet baseline",
      "source": "live",
      "kernel_id": "30265055"
    },
    {
      "ref": "alexandervc/mmscel-cell-cycle-03b-daybydaychange-allcelltypes",
      "title": "MmSCel🧬Cell Cycle 03b DayByDayChange AllCellTypes",
      "source": "live",
      "kernel_id": "30255917"
    },
    {
      "ref": "alexandervc/mmscel-cell-cycle-03-daybydaychange-megakaryocyte",
      "title": "MmSCel🧬Cell Cycle 03 DayByDayChange Megakaryocyte",
      "source": "live",
      "kernel_id": "30252297"
    },
    {
      "ref": "konomuabe/comparing-submission-file-creation-method",
      "title": "Comparing submission file creation method",
      "source": "live",
      "kernel_id": "30247044"
    },
    {
      "ref": "narendra/cite-eda",
      "title": "CITE EDA",
      "source": "live",
      "kernel_id": "30232943"
    },
    {
      "ref": "norifumiirie/heatmap-of-multiome-data",
      "title": "Heatmap of Multiome Data",
      "source": "live",
      "kernel_id": "30229638"
    },
    {
      "ref": "xiafire/lb-t15-msci-multiome-catboostregressor",
      "title": "[🥈LB_T15| MSCI Multiome] CatBoostRegressor",
      "source": "live",
      "kernel_id": "30229318"
    },
    {
      "ref": "konomuabe/eda-citeseq-protein-levels-donor-day-dependency",
      "title": "EDA:CITEseq protein levels (donor,day dependency)",
      "source": "live",
      "kernel_id": "30224716"
    },
    {
      "ref": "mehrankazeminia/1-5-msci22-eda",
      "title": "[1/5] MSCI22 - EDA",
      "source": "live",
      "kernel_id": "30217212"
    },
    {
      "ref": "xiafire/fork-of-msci-multiome-randomsampling-sp-6b182b",
      "title": "Fork of [MSCI Multiome] RandomSampling | Sp 6b182b",
      "source": "live",
      "kernel_id": "30205283"
    },
    {
      "ref": "pybeast/msci-eda",
      "title": "MSCI_EDA",
      "source": "live",
      "kernel_id": "30185509"
    },
    {
      "ref": "batprem/multiome-svd-128",
      "title": "Multiome: svd 128",
      "source": "live",
      "kernel_id": "30181631"
    },
    {
      "ref": "leohash/feature-feature-generation",
      "title": "Feature Feature Generation",
      "source": "live",
      "kernel_id": "30175097"
    },
    {
      "ref": "swimmy/stacking-lgbm-catboost-ridge-xgb-msci",
      "title": "【Stacking】LGBM+ CatBoost+ Ridge+ XGB MSCI",
      "source": "live",
      "kernel_id": "30163538"
    },
    {
      "ref": "vslaykovsky/multi-67-cite-89-pytorch-swiss-army-knife",
      "title": "🔬[Multi:.67;CITE:.89] PyTorch Swiss Army Knife🔬",
      "source": "live",
      "kernel_id": "30156786"
    },
    {
      "ref": "sskknt/msci-citeseq-keras-quickstart-dropout",
      "title": "MSCI CITEseq Keras Quickstart + Dropout",
      "source": "live",
      "kernel_id": "30150191"
    },
    {
      "ref": "takanashihumbert/there-are-35-features-in-multiome-data-constant-0",
      "title": "There are 35 features in Multiome data constant 0",
      "source": "live",
      "kernel_id": "30139972"
    },
    {
      "ref": "xiafire/msci-multiome-randomsampling-sparse-matrices",
      "title": "[MSCI Multiome] RandomSampling | Sparse Matrices",
      "source": "live",
      "kernel_id": "30136736"
    },
    {
      "ref": "vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r",
      "title": "[LB:0.811]Normalized Ensembles for Pearson's r",
      "source": "live",
      "kernel_id": "30126378"
    },
    {
      "ref": "fabiencrom/msci-multiome-torch-quickstart-submission",
      "title": "MSCI Multiome Torch Quickstart Submission",
      "source": "live",
      "kernel_id": "30120038"
    },
    {
      "ref": "swimmy/blending-of-five-submission",
      "title": "Blending of five submission",
      "source": "live",
      "kernel_id": "30119591"
    },
    {
      "ref": "fabiencrom/msci-multiome-torch-quickstart-w-sparse-tensors",
      "title": "MSCI Multiome Torch QuickStart w/ Sparse Tensors",
      "source": "live",
      "kernel_id": "30119098"
    },
    {
      "ref": "tscheung/lb-0-855-upvote-the-example-of-ensemble",
      "title": "[LB: 0.855] Upvote, the example of ensemble",
      "source": "live",
      "kernel_id": "30115221"
    },
    {
      "ref": "royalacecat/lb-0-855-the-example-of-ensemble",
      "title": "[LB: 0.855]The example of ensemble",
      "source": "live",
      "kernel_id": "30113630"
    },
    {
      "ref": "ambrosm/msci-citeseq-keras-quickstart",
      "title": "MSCI CITEseq Keras Quickstart",
      "source": "live",
      "kernel_id": "30111558"
    },
    {
      "ref": "lucasmorin/tf-keras-nn-base-to-work",
      "title": "TF/Keras NN base to work",
      "source": "live",
      "kernel_id": "30099967"
    },
    {
      "ref": "stautxie/cite-seq-baseline-prediction",
      "title": "CITE Seq Baseline prediction",
      "source": "live",
      "kernel_id": "30089374"
    },
    {
      "ref": "jsmithperera/citeseq-by-cell-type",
      "title": "CITEseq by cell_type",
      "source": "live",
      "kernel_id": "30089321"
    },
    {
      "ref": "stautxie/multiomer-prediction-with-svd-regression",
      "title": "Multiomer Prediction with SVD + Regression",
      "source": "live",
      "kernel_id": "30083684"
    },
    {
      "ref": "jsmithperera/multiome-w-sparse-m-tsvd-32",
      "title": "Multiome w/ Sparse M + tSVD = 32",
      "source": "live",
      "kernel_id": "30065655"
    },
    {
      "ref": "miyawakiyoshifumi/multiome-data-compression",
      "title": "Multiome data compression",
      "source": "live",
      "kernel_id": "30051859"
    },
    {
      "ref": "geraseva/magic-feature-selection",
      "title": "magic_feature_selection",
      "source": "live",
      "kernel_id": "30050488"
    },
    {
      "ref": "leohash/cell-feature-generation",
      "title": "Cell Feature Generation",
      "source": "live",
      "kernel_id": "30048274"
    },
    {
      "ref": "konomuabe/average-of-gene-id-and-day",
      "title": "Average of gene_id and day",
      "source": "live",
      "kernel_id": "30042569"
    },
    {
      "ref": "masato114/overlaps-between-cite-genes-and-atac-genes",
      "title": "Overlaps between CITE genes and ATAC genes",
      "source": "live",
      "kernel_id": "30036495"
    },
    {
      "ref": "juliarymuza/notebook6d95a9efe1",
      "title": "notebook6d95a9efe1",
      "source": "live",
      "kernel_id": "30025641"
    },
    {
      "ref": "masato114/msci-multiome-using-geneactivity",
      "title": "MSCI Multiome using geneactivity",
      "source": "live",
      "kernel_id": "30004088"
    },
    {
      "ref": "fabiencrom/msci-multiome-quickstart-w-sparse-matrices",
      "title": "MSCI Multiome Quickstart w/ Sparse Matrices",
      "source": "live",
      "kernel_id": "30002032"
    },
    {
      "ref": "fabiencrom/multimodal-single-cell-creating-sparse-data",
      "title": "Multimodal Single Cell: Creating Sparse Data",
      "source": "live",
      "kernel_id": "30001964"
    },
    {
      "ref": "masato114/chromatin-gene-conversion-test",
      "title": "Chromatin-Gene Conversion Test",
      "source": "live",
      "kernel_id": "29976186"
    },
    {
      "ref": "stautxie/reduce-memory-footprint-of-competition-data",
      "title": "Reduce Memory Footprint of Competition Data",
      "source": "live",
      "kernel_id": "29971714"
    },
    {
      "ref": "masato114/chromatin-gene-conversion-train",
      "title": "Chromatin-Gene Conversion Train",
      "source": "live",
      "kernel_id": "29950683"
    },
    {
      "ref": "ravishah1/citeseq-rna-to-protein-encoder-decoder-nn",
      "title": "CITEseq - RNA to Protein Encoder-Decoder NN",
      "source": "live",
      "kernel_id": "29945883"
    },
    {
      "ref": "sakurakotanida/eda-in-japanese",
      "title": "日本語で EDA in Japanese",
      "source": "live",
      "kernel_id": "29936783"
    },
    {
      "ref": "pollicio/analisis-unicelular-chile",
      "title": "Analisis_Unicelular_Chile",
      "source": "live",
      "kernel_id": "29930406"
    },
    {
      "ref": "jsmithperera/multiome-sparse-tsvd-v2",
      "title": "Multiome Sparse+tSVD v2",
      "source": "live",
      "kernel_id": "29926734"
    },
    {
      "ref": "jamunaprasadyadav/open-problems-multimodal-single-cell-integrati",
      "title": "· Open Problems - Multimodal Single-Cell Integrati",
      "source": "live",
      "kernel_id": "29926129"
    },
    {
      "ref": "jsmithperera/msci-citeseq-quickstart-v3",
      "title": "MSCI CITEseq Quickstart v3",
      "source": "live",
      "kernel_id": "29912004"
    },
    {
      "ref": "rufusc/open-problem-multimodal",
      "title": "open_problem_multimodal",
      "source": "live",
      "kernel_id": "29905245"
    },
    {
      "ref": "rm1000/primitive-ensembling",
      "title": "Primitive Ensembling",
      "source": "live",
      "kernel_id": "29904955"
    },
    {
      "ref": "swimmy/lgbm-baseline-msci-multiome",
      "title": "【LGBM Baseline】MSCI Multiome",
      "source": "live",
      "kernel_id": "29899650"
    },
    {
      "ref": "hnthnt/aircon-tsvd",
      "title": "aircon-tsvd",
      "source": "live",
      "kernel_id": "29898227"
    },
    {
      "ref": "xiafire/lb0-830-lgbm-optuna-msci-citeseq",
      "title": "【🥈LB0.830 | LGBM + Optuna】MSCI CITEseq",
      "source": "live",
      "kernel_id": "29897049"
    },
    {
      "ref": "ovefrlow/reduce-memory-usage-by-95-with-sparse-matrices",
      "title": "Reduce Memory Usage by 95% with Sparse Matrices",
      "source": "live",
      "kernel_id": "29889859"
    },
    {
      "ref": "sbunzini/multiome-simple-nn-with-sparse-matrices",
      "title": "Multiome Simple NN with Sparse Matrices",
      "source": "live",
      "kernel_id": "29882143"
    },
    {
      "ref": "narendra/msci-high-level-eda",
      "title": "MSCI- high level EDA",
      "source": "live",
      "kernel_id": "29872086"
    },
    {
      "ref": "knowledgesl/h5-files-in-r-to-get-familiarized",
      "title": "H5 files in R to get familiarized",
      "source": "live",
      "kernel_id": "29870549"
    },
    {
      "ref": "nandodmelo/cite-xgboost-v1",
      "title": "Cite + XGBoost v1",
      "source": "live",
      "kernel_id": "29849233"
    },
    {
      "ref": "sbunzini/reduce-memory-usage-by-95-with-sparse-matrices",
      "title": "Reduce Memory Usage by 95% with Sparse Matrices",
      "source": "live",
      "kernel_id": "29847933"
    },
    {
      "ref": "lucasmorin/msci-citeseq-tf-keras-nn-custom-loss",
      "title": "MSCI - CITEseq - TF/Keras NN Custom loss",
      "source": "live",
      "kernel_id": "29847780"
    },
    {
      "ref": "vuonglam/tune-lgbm-only-final-cite-task",
      "title": "【Tune LGBM Only - Final】CITE Task",
      "source": "live",
      "kernel_id": "29831844"
    },
    {
      "ref": "digitalbro/multimodal-sc-integration-meta-resources",
      "title": "Multimodal SC Integration Meta-Resources",
      "source": "live",
      "kernel_id": "29831803"
    },
    {
      "ref": "swimmy/lgbm-baseline-msci-citeseq",
      "title": "【LGBM Baseline】MSCI CITEseq",
      "source": "live",
      "kernel_id": "29829544"
    },
    {
      "ref": "monibalint/h5-files-in-r-to-get-familiarized",
      "title": "H5 files in R to get familiarized",
      "source": "live",
      "kernel_id": "29826440"
    },
    {
      "ref": "vicsonsam/multisci-eda",
      "title": "MultiSCI- 📊 EDA ",
      "source": "live",
      "kernel_id": "29791089"
    },
    {
      "ref": "alexandervc/mmscel-eda-bioinfo-targets-citeseq-01",
      "title": "MmSCel🧬EDA Bioinfo Targets CITEseq 01",
      "source": "live",
      "kernel_id": "29766415"
    },
    {
      "ref": "konomuabe/convert-data-for-speed-up",
      "title": "Convert data for speed up",
      "source": "live",
      "kernel_id": "29748802"
    },
    {
      "ref": "erivanoliveirajr/multimodal-single-cell-integration",
      "title": "Multimodal Single-Cell Integration",
      "source": "live",
      "kernel_id": "29748184"
    },
    {
      "ref": "alekeuro/querying-specific-subsets-of-the-data-without-load",
      "title": "Querying specific subsets of the data without load",
      "source": "live",
      "kernel_id": "29746334"
    },
    {
      "ref": "ambrosm/msci-multiome-quickstart",
      "title": "MSCI Multiome Quickstart",
      "source": "live",
      "kernel_id": "29742519"
    },
    {
      "ref": "mpwolke/multimodal-single-cell-h5-file",
      "title": "Multimodal Single Cell H5 file",
      "source": "live",
      "kernel_id": "29738545"
    },
    {
      "ref": "ambrosm/msci-citeseq-quickstart",
      "title": "MSCI CITEseq Quickstart",
      "source": "live",
      "kernel_id": "29737665"
    },
    {
      "ref": "ambrosm/msci-eda-which-makes-sense",
      "title": "MSCI EDA which makes sense ⭐️⭐️⭐️⭐️⭐️",
      "source": "live",
      "kernel_id": "29732059"
    },
    {
      "ref": "wwhlazio/initial-analysis-r",
      "title": "initial_analysis_R",
      "source": "live",
      "kernel_id": "29724464"
    },
    {
      "ref": "alexandervc/use-h5py-for-huge-h5-file-backing-it-on-disk",
      "title": "Use h5py for huge h5 file backing it on disk",
      "source": "live",
      "kernel_id": "29695158"
    },
    {
      "ref": "jamesdao/row-col-counts-uncompressed-filesizes-sparsity",
      "title": "Row/col counts, uncompressed filesizes, sparsity",
      "source": "live",
      "kernel_id": "29680577"
    },
    {
      "ref": "jirkaborovec/mmscel-inst-eda-stat-predictions",
      "title": "MmSCel🧬Inst: EDA 🔍 & Stat. 🏴‍☠️ predictions",
      "source": "live",
      "kernel_id": "29671072"
    },
    {
      "ref": "sskknt/en-jp-quick-data-preview-and-column-name-patterns",
      "title": "【EN/JP】Quick Data Preview and Column Name Patterns",
      "source": "live",
      "kernel_id": "29662969"
    },
    {
      "ref": "edadi1l/all-necessary-eda-date-celltype-effect",
      "title": "ALL NECESSARY EDA (DATE/CELLTYPE EFFECT) ",
      "source": "live",
      "kernel_id": "29662592"
    },
    {
      "ref": "francescoliveras/open-problems-multimodal-single-cell-integration",
      "title": "Open Problems - Multimodal Single-Cell Integration",
      "source": "live",
      "kernel_id": "29652546"
    },
    {
      "ref": "shivamanhar/data-mean-value",
      "title": "data mean value",
      "source": "live",
      "kernel_id": "29640710"
    },
    {
      "ref": "daniorerio/getting-started-scanpy-muon",
      "title": "Getting started - scanpy/muon",
      "source": "live",
      "kernel_id": "29630693"
    },
    {
      "ref": "shuntarotanaka/simple-submission-average-by-gene-id",
      "title": "Simple Submission - Average by gene_id",
      "source": "live",
      "kernel_id": "29628631"
    },
    {
      "ref": "leohash/complete-eda-of-mmscel-integration-data",
      "title": "Complete EDA of MmSCel Integration Data",
      "source": "live",
      "kernel_id": "29628534"
    },
    {
      "ref": "shivamanhar/dna-rna-protein-measurements-eda",
      "title": "DNA-RNA & protein measurements EDA",
      "source": "live",
      "kernel_id": "29627017"
    },
    {
      "ref": "queyrusi/cell-analysis-quick-h5-eda",
      "title": "🧫 Cell Analysis - quick h5 EDA",
      "source": "live",
      "kernel_id": "29624187"
    },
    {
      "ref": "queyrusi/baseline-submission",
      "title": "Baseline submission",
      "source": "live",
      "kernel_id": "29623818"
    },
    {
      "ref": "alexandervc/postprocessing-tips-normalize-y-to-1e6-multiome",
      "title": "Postprocessing Tips: normalize Y to 1e6 (Multiome)",
      "source": "live",
      "kernel_id": "29617023"
    },
    {
      "ref": "peterholderrieth/getting-started-data-loading",
      "title": "Getting Started - Data Loading ",
      "source": "live",
      "kernel_id": "29518392"
    },
    {
      "ref": "bansodesandeep/sentiment-analysis-support-vector-machine",
      "title": "",
      "source": "meta",
      "kernel_id": "29882142"
    },
    {
      "ref": "bansodesandeep/ml-logistic-regression-boston-data-binning",
      "title": "",
      "source": "meta",
      "kernel_id": "29915382"
    },
    {
      "ref": "visualcomments/genes-embeddings-clustermap",
      "title": "",
      "source": "meta",
      "kernel_id": "30829092"
    },
    {
      "ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster",
      "title": "",
      "source": "meta",
      "kernel_id": "30266003"
    },
    {
      "ref": "chazzer/ml-grandmaster-decision-tree-regressor",
      "title": "",
      "source": "meta",
      "kernel_id": "30762070"
    },
    {
      "ref": "chazzer/ml-grandmaster-decision-tree-classifier",
      "title": "",
      "source": "meta",
      "kernel_id": "30656665"
    },
    {
      "ref": "llttyy/calculate-the-gene-activity-score-of-multiome-data",
      "title": "",
      "source": "meta",
      "kernel_id": "31894671"
    },
    {
      "ref": "dinah3906/blending-of-five-submission",
      "title": "",
      "source": "meta",
      "kernel_id": "32069669"
    },
    {
      "ref": "matthieudagommer/tandem-genomics",
      "title": "",
      "source": "meta",
      "kernel_id": "36341111"
    },
    {
      "ref": "antoninadolgorukova/op2-adata-analysis-with-seurat",
      "title": "",
      "source": "meta",
      "kernel_id": "44691230"
    },
    {
      "ref": "letitiacowell/alexandria-competition-open-problems-mult-251813",
      "title": "",
      "source": "meta",
      "kernel_id": "100582874"
    },
    {
      "ref": "kimkiyeont/open-problems-multimodal-single-cell-integration",
      "title": "",
      "source": "meta",
      "kernel_id": "134730258"
    }
  ],
  "errors": []
}