{
  "id": 344686,
  "title": "Research Papers on Multimodal Single-Cell Integration",
  "url": "/competitions/open-problems-multimodal/discussion/344686",
  "author_name": "",
  "post_date": "2022-08-16T07:54:41.048802300Z",
  "votes": 25,
  "comment_count": 2,
  "views": 0,
  "content": "<h2>Research Papers on Multimodal Single-Cell Integration</h2>\n<ul>\n<li><a href=\"https://www.sciencedirect.com/science/article/pii/S0092867421005833\" target=\"_blank\">Integrated analysis of multimodal single-cell data</a></li>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S1097276521010741\" target=\"_blank\">New horizons in the stormy sea of multimodal single-cell data integration</a></li>\n<li><a href=\"https://www.nature.com/articles/s41587-021-00895-7\" target=\"_blank\">Computational principles and challenges in single-cell data integration</a></li>\n<li><a href=\"https://www.nature.com/articles/s41467-022-31104-x\" target=\"_blank\">Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward</a></li>\n<li><a href=\"https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02679-x\" target=\"_blank\">Bi-order multimodal integration of single-cell data</a></li>\n<li><a href=\"https://www.biorxiv.org/content/10.1101/2020.11.09.373613v1.abstract\" target=\"_blank\">Multimodal single-cell chromatin analysis with Signac</a></li>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0952791519300469\" target=\"_blank\">Multimodal single-cell approaches shed light on T cell heterogeneity</a></li>\n<li><a href=\"https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02556-z\" target=\"_blank\">Cobolt: integrative analysis of multimodal single-cell sequencing data</a></li>\n</ul>",
  "messages": [
    {
      "id": "1900719",
      "postDate": "08/16/2022 07:54:41",
      "content": "<h2>Research Papers on Multimodal Single-Cell Integration</h2>\n<ul>\n<li><a href=\"https://www.sciencedirect.com/science/article/pii/S0092867421005833\" target=\"_blank\">Integrated analysis of multimodal single-cell data</a></li>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S1097276521010741\" target=\"_blank\">New horizons in the stormy sea of multimodal single-cell data integration</a></li>\n<li><a href=\"https://www.nature.com/articles/s41587-021-00895-7\" target=\"_blank\">Computational principles and challenges in single-cell data integration</a></li>\n<li><a href=\"https://www.nature.com/articles/s41467-022-31104-x\" target=\"_blank\">Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward</a></li>\n<li><a href=\"https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02679-x\" target=\"_blank\">Bi-order multimodal integration of single-cell data</a></li>\n<li><a href=\"https://www.biorxiv.org/content/10.1101/2020.11.09.373613v1.abstract\" target=\"_blank\">Multimodal single-cell chromatin analysis with Signac</a></li>\n<li><a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0952791519300469\" target=\"_blank\">Multimodal single-cell approaches shed light on T cell heterogeneity</a></li>\n<li><a href=\"https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02556-z\" target=\"_blank\">Cobolt: integrative analysis of multimodal single-cell sequencing data</a></li>\n</ul>",
      "rawMarkdown": "## Research Papers on Multimodal Single-Cell Integration\n\n- [Integrated analysis of multimodal single-cell data](https://www.sciencedirect.com/science/article/pii/S0092867421005833)\n- [New horizons in the stormy sea of multimodal single-cell data integration](https://www.sciencedirect.com/science/article/abs/pii/S1097276521010741)\n- [Computational principles and challenges in single-cell data integration](https://www.nature.com/articles/s41587-021-00895-7)\n- [Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward](https://www.nature.com/articles/s41467-022-31104-x)\n- [Bi-order multimodal integration of single-cell data](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02679-x)\n- [Multimodal single-cell chromatin analysis with Signac](https://www.biorxiv.org/content/10.1101/2020.11.09.373613v1.abstract)\n- [Multimodal single-cell approaches shed light on T cell heterogeneity](https://www.sciencedirect.com/science/article/abs/pii/S0952791519300469)\n- [Cobolt: integrative analysis of multimodal single-cell sequencing data](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02556-z)",
      "votes": null
    },
    {
      "id": "1901038",
      "postDate": "08/16/2022 12:41:06",
      "content": "<p>Cool, I'll add some more papers:</p>\n<ul>\n<li><a href=\"https://icml-compbio.github.io/2021/papers/WCBICML2021_paper_44.pdf\" target=\"_blank\">Multigrate: single-cell multi-omic data integration</a></li>\n<li><a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954949/pdf/nihms-1656427.pdf\" target=\"_blank\">Joint probabilistic modeling of single-cell multi-omic data with\ntotalVI</a></li>\n<li><a href=\"https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-020-1932-8.pdf\" target=\"_blank\">scAI: an unsupervised approach for the\nintegrative analysis of parallel single-cell\ntranscriptomic and epigenomic profiles</a></li>\n<li><a href=\"https://www.embopress.org/doi/full/10.15252/msb.20178124\" target=\"_blank\">Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets</a></li>\n<li><a href=\"https://www.nature.com/articles/s41467-020-20249-2\" target=\"_blank\">Multi-domain translation between single-cell imaging and sequencing data using autoencoders</a></li>\n<li><a href=\"https://www.cell.com/cell/fulltext/S0092-8674(19)30559-8\" target=\"_blank\">Comprehensive Integration of Single-Cell Data</a></li>\n</ul>",
      "rawMarkdown": "Cool, I'll add some more papers:\n- [Multigrate: single-cell multi-omic data integration](https://icml-compbio.github.io/2021/papers/WCBICML2021_paper_44.pdf)\n- [Joint probabilistic modeling of single-cell multi-omic data with\ntotalVI](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954949/pdf/nihms-1656427.pdf)\n- [scAI: an unsupervised approach for the\nintegrative analysis of parallel single-cell\ntranscriptomic and epigenomic profiles](https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-020-1932-8.pdf)\n- [Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets] (https://www.embopress.org/doi/full/10.15252/msb.20178124)\n- [Multi-domain translation between single-cell imaging and sequencing data using autoencoders](https://www.nature.com/articles/s41467-020-20249-2)\n- [Comprehensive Integration of Single-Cell Data](https://www.cell.com/cell/fulltext/S0092-8674(19)30559-8)",
      "votes": null
    },
    {
      "id": "1941193",
      "postDate": "09/15/2022 20:36:34",
      "content": "<p>I do not have domain expertise on single cell technologies and as an engineer/data scientist, my instinct is to refrain from throwing sophisticated predictive models on data that I do not know much about.  My impression is that, the process to central dogma dna-rna-protein is continuous and if i remember my systems biology right, there is also a gene regulatory network where some of these proteins affect the expression of the genes. So the network of events is complex. I am very curious about possible spatio-temporal sequencing efforts of all these components simultaneously. Does anybody know where to begin looking into these?</p>",
      "rawMarkdown": "I do not have domain expertise on single cell technologies and as an engineer/data scientist, my instinct is to refrain from throwing sophisticated predictive models on data that I do not know much about.  My impression is that, the process to central dogma dna-rna-protein is continuous and if i remember my systems biology right, there is also a gene regulatory network where some of these proteins affect the expression of the genes. So the network of events is complex. I am very curious about possible spatio-temporal sequencing efforts of all these components simultaneously. Does anybody know where to begin looking into these?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1901038,
      "author_name": "zambonimarco",
      "author_url": "",
      "post_date": "08/16/2022 12:41:06",
      "content": "<p>Cool, I'll add some more papers:</p>\n<ul>\n<li><a href=\"https://icml-compbio.github.io/2021/papers/WCBICML2021_paper_44.pdf\" target=\"_blank\">Multigrate: single-cell multi-omic data integration</a></li>\n<li><a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954949/pdf/nihms-1656427.pdf\" target=\"_blank\">Joint probabilistic modeling of single-cell multi-omic data with\ntotalVI</a></li>\n<li><a href=\"https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-020-1932-8.pdf\" target=\"_blank\">scAI: an unsupervised approach for the\nintegrative analysis of parallel single-cell\ntranscriptomic and epigenomic profiles</a></li>\n<li><a href=\"https://www.embopress.org/doi/full/10.15252/msb.20178124\" target=\"_blank\">Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets</a></li>\n<li><a href=\"https://www.nature.com/articles/s41467-020-20249-2\" target=\"_blank\">Multi-domain translation between single-cell imaging and sequencing data using autoencoders</a></li>\n<li><a href=\"https://www.cell.com/cell/fulltext/S0092-8674(19)30559-8\" target=\"_blank\">Comprehensive Integration of Single-Cell Data</a></li>\n</ul>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1941193,
      "author_name": "moonlight2022",
      "author_url": "",
      "post_date": "09/15/2022 20:36:34",
      "content": "<p>I do not have domain expertise on single cell technologies and as an engineer/data scientist, my instinct is to refrain from throwing sophisticated predictive models on data that I do not know much about.  My impression is that, the process to central dogma dna-rna-protein is continuous and if i remember my systems biology right, there is also a gene regulatory network where some of these proteins affect the expression of the genes. So the network of events is complex. I am very curious about possible spatio-temporal sequencing efforts of all these components simultaneously. Does anybody know where to begin looking into these?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1900719": "## Research Papers on Multimodal Single-Cell Integration\n\n- [Integrated analysis of multimodal single-cell data](https://www.sciencedirect.com/science/article/pii/S0092867421005833)\n- [New horizons in the stormy sea of multimodal single-cell data integration](https://www.sciencedirect.com/science/article/abs/pii/S1097276521010741)\n- [Computational principles and challenges in single-cell data integration](https://www.nature.com/articles/s41587-021-00895-7)\n- [Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward](https://www.nature.com/articles/s41467-022-31104-x)\n- [Bi-order multimodal integration of single-cell data](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02679-x)\n- [Multimodal single-cell chromatin analysis with Signac](https://www.biorxiv.org/content/10.1101/2020.11.09.373613v1.abstract)\n- [Multimodal single-cell approaches shed light on T cell heterogeneity](https://www.sciencedirect.com/science/article/abs/pii/S0952791519300469)\n- [Cobolt: integrative analysis of multimodal single-cell sequencing data](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02556-z)",
    "1901038": "Cool, I'll add some more papers:\n- [Multigrate: single-cell multi-omic data integration](https://icml-compbio.github.io/2021/papers/WCBICML2021_paper_44.pdf)\n- [Joint probabilistic modeling of single-cell multi-omic data with\ntotalVI](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954949/pdf/nihms-1656427.pdf)\n- [scAI: an unsupervised approach for the\nintegrative analysis of parallel single-cell\ntranscriptomic and epigenomic profiles](https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-020-1932-8.pdf)\n- [Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets] (https://www.embopress.org/doi/full/10.15252/msb.20178124)\n- [Multi-domain translation between single-cell imaging and sequencing data using autoencoders](https://www.nature.com/articles/s41467-020-20249-2)\n- [Comprehensive Integration of Single-Cell Data](https://www.cell.com/cell/fulltext/S0092-8674(19)30559-8)",
    "1941193": "I do not have domain expertise on single cell technologies and as an engineer/data scientist, my instinct is to refrain from throwing sophisticated predictive models on data that I do not know much about.  My impression is that, the process to central dogma dna-rna-protein is continuous and if i remember my systems biology right, there is also a gene regulatory network where some of these proteins affect the expression of the genes. So the network of events is complex. I am very curious about possible spatio-temporal sequencing efforts of all these components simultaneously. Does anybody know where to begin looking into these?"
  },
  "source": "meta"
}