{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Cell-specific gene expression was examined.","metadata":{}},{"cell_type":"code","source":"SEED = 42\n\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom scipy import stats\nfrom sklearn.decomposition import PCA\nfrom sklearn.linear_model import Ridge\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import mean_absolute_error","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:16.414198Z","iopub.execute_input":"2023-10-18T12:38:16.414853Z","iopub.status.idle":"2023-10-18T12:38:19.133671Z","shell.execute_reply.started":"2023-10-18T12:38:16.414817Z","shell.execute_reply":"2023-10-18T12:38:19.132848Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"de_train =   pd.read_parquet(\"/kaggle/input/open-problems-single-cell-perturbations/de_train.parquet\")\nid_map = pd.read_csv(\"/kaggle/input/open-problems-single-cell-perturbations/id_map.csv\")\nBcell_list = id_map[id_map['cell_type']=='B cells']['sm_name']\nMcell_list = id_map[id_map['cell_type']=='Myeloid cells']['sm_name']\nsample_submission = pd.read_csv(\"/kaggle/input/open-problems-single-cell-perturbations/sample_submission.csv\")\n\nxlist  = ['cell_type','sm_name']\n_ylist = ['sm_name','sm_lincs_id','SMILES','control']\n\ny = de_train.drop(columns=_ylist)\ntrain  = pd.get_dummies(de_train[xlist], columns=xlist)\ntest = pd.get_dummies(id_map[xlist], columns=xlist)\nuncommon = [f for f in train if f not in test]\nX = train.drop(columns=uncommon)","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:40:30.867456Z","iopub.execute_input":"2023-10-18T12:40:30.867830Z","iopub.status.idle":"2023-10-18T12:40:34.946226Z","shell.execute_reply.started":"2023-10-18T12:40:30.867803Z","shell.execute_reply":"2023-10-18T12:40:34.945131Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"raw = pd.read_table('/kaggle/input/pbmc3k-filtered-gene-bc-matrices-copy/barcode_cell_type.txt',index_col=0)","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:24.583609Z","iopub.execute_input":"2023-10-18T12:38:24.584519Z","iopub.status.idle":"2023-10-18T12:38:30.294240Z","shell.execute_reply.started":"2023-10-18T12:38:24.584479Z","shell.execute_reply":"2023-10-18T12:38:30.293211Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"raw","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:30.296949Z","iopub.execute_input":"2023-10-18T12:38:30.297338Z","iopub.status.idle":"2023-10-18T12:38:30.330238Z","shell.execute_reply.started":"2023-10-18T12:38:30.297310Z","shell.execute_reply":"2023-10-18T12:38:30.329213Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Raw = raw.copy()\nRaw.index = raw.index.str.split(\"'\").str.get(1)\nRaw.columns = raw.columns.str.split(\"'\").str.get(3)\nRaw.columns = Raw.columns.str.strip('Cell Type: ')","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:30.331460Z","iopub.execute_input":"2023-10-18T12:38:30.331965Z","iopub.status.idle":"2023-10-18T12:38:30.465305Z","shell.execute_reply.started":"2023-10-18T12:38:30.331934Z","shell.execute_reply":"2023-10-18T12:38:30.464447Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Raw.columns.value_counts()","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:30.466458Z","iopub.execute_input":"2023-10-18T12:38:30.466719Z","iopub.status.idle":"2023-10-18T12:38:30.478410Z","shell.execute_reply.started":"2023-10-18T12:38:30.466696Z","shell.execute_reply":"2023-10-18T12:38:30.477206Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Monocytes                     342　→ **Myeloid cells**\n\ncells CD4 memory resting      334　→　**CD4 cells**\n\ncells CD4 naiv                222　→　**CD4 cells**\n\nB cells naiv                  209　→　**B cells**\n\ncells CD8                     205　→　**CD8 cells**\n\nNK cells resting              174　→　**NK cells**\n\ncells regulatory (Tregs)      155　→　**T-reg cells**\n\nNeutrophils                   126　→　**Myeloid cells**\n\nB cells memor                 121　→　**B cells**\n\ncells follicular helper       120\n\ncells gamma delta             109\n\nMacrophages M2                 93　→　**Myeloid cells**\n\nNK cells activated             87　→　**NK cells**\n\ncells CD4 memory activated     77　→　**CD4 cells**\n\nMacrophages M0                 54　→　**Myeloid cells**\n\nDendritic cells resting        50\n\nPlasma cells                   46\n\nMast cells resting             42\n\nMacrophages M1                 39　→　**Myeloid cells**\n\nDendritic cells activated      35\n\nEosinophils                    33　→　**Myeloid cells**\n\nMast cells activated           27","metadata":{}},{"cell_type":"code","source":"L =Raw.columns\nL2 = L.str.replace('Monocytes','Myeloid cells')\\\n       .str.replace('cells CD4 memory resting','CD4 cells')\\\n       .str.replace('cells CD4 naiv','CD4 cells')\\\n       .str.replace('B cells naiv','B cells')\\\n       .str.replace('cells CD8','CD8 cells')\\\n       .str.replace('NK cells resting','NK cells')\\\n       .str.replace('cells regulatory (Tregs)','T-reg cells')\\\n       .str.replace('Neutrophils','Myeloid cells')\\\n       .str.replace('B cells memor','B cells')\\\n       .str.replace('Macrophages M2','Myeloid cells')\\\n       .str.replace('NK cells activated','NK cells')\\\n       .str.replace('cells CD4 memory activated','CD4 cells')\\\n       .str.replace('Macrophages M0','Myeloid cells')\\\n       .str.replace('Macrophages M1','Myeloid cells')\\\n       .str.replace('Eosinophils','Myeloid cells')\\\n       .str.replace('B cells memor','B cells')\\\n       .str.replace('Macrophages M2','Myeloid cells')\\\n       .str.replace('NK cells activated','NK cells')\\\n       .str.replace('cells CD4 memory activated','CD4 cells')\\\n       .str.replace('Macrophages M0','Myeloid cells')\\\n       .str.replace('Macrophages M1','Myeloid cells')\\\n       .str.replace('Eosinophils','Myeloid cells')","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:30.479828Z","iopub.execute_input":"2023-10-18T12:38:30.480274Z","iopub.status.idle":"2023-10-18T12:38:30.516464Z","shell.execute_reply.started":"2023-10-18T12:38:30.480249Z","shell.execute_reply":"2023-10-18T12:38:30.515466Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df = Raw.copy()\ndf.columns = L2\ndf = df.loc[:,df.columns.isin(['B cells','Myeloid cells','NK cells','CD4 cells','CD8 cells','T-reg cells'])]\nDf = df.T\nDf","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:30.517588Z","iopub.execute_input":"2023-10-18T12:38:30.517976Z","iopub.status.idle":"2023-10-18T12:38:30.760221Z","shell.execute_reply.started":"2023-10-18T12:38:30.517931Z","shell.execute_reply":"2023-10-18T12:38:30.759333Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Y = y.iloc[:,1:]\nY.index = y['cell_type']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:43:48.512851Z","iopub.execute_input":"2023-10-18T12:43:48.513269Z","iopub.status.idle":"2023-10-18T12:43:48.583153Z","shell.execute_reply.started":"2023-10-18T12:43:48.513243Z","shell.execute_reply":"2023-10-18T12:43:48.581496Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Df_B = Df[Df.index =='B cells']\nDf_M = Df[Df.index =='Myeloid cells']\nDf_NK = Df[Df.index =='NK cells']\nDf_CD4 = Df[Df.index =='CD4 cells']\nDf_CD8 = Df[Df.index =='CD8 cells']\nDf_reg = Df[Df.index =='T-reg cells']\n\nY_B = Y[Y.index =='B cells']\nY_M = Y[Y.index =='Myeloid cells']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:43:49.056164Z","iopub.execute_input":"2023-10-18T12:43:49.057123Z","iopub.status.idle":"2023-10-18T12:43:49.155313Z","shell.execute_reply.started":"2023-10-18T12:43:49.057072Z","shell.execute_reply":"2023-10-18T12:43:49.154091Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Df_notB = Df[Df.index !='B cells']\nDf_notM = Df[Df.index !='Myeloid cells']\nDf_notNK = Df[Df.index !='NK cells']\nDf_notCD4 = Df[Df.index !='CD4 cells']\nDf_notCD8 = Df[Df.index !='CD8 cells']\nDf_notreg = Df[Df.index !='T-reg cells']\n\nY_notB = Y[Y.index !='B cells']\nY_notM = Y[Y.index !='Myeloid cells']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:43:49.691462Z","iopub.execute_input":"2023-10-18T12:43:49.692105Z","iopub.status.idle":"2023-10-18T12:43:50.197542Z","shell.execute_reply.started":"2023-10-18T12:43:49.692072Z","shell.execute_reply":"2023-10-18T12:43:50.196686Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"DF = Df.copy()\nDF['cell_type'] = DF.index","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:43:51.957007Z","iopub.execute_input":"2023-10-18T12:43:51.958347Z","iopub.status.idle":"2023-10-18T12:43:52.118166Z","shell.execute_reply.started":"2023-10-18T12:43:51.958305Z","shell.execute_reply":"2023-10-18T12:43:52.116821Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Let's look Cell-specific gene expression**\n\n**At fisrt, B cells!!**","metadata":{}},{"cell_type":"code","source":"stats.mannwhitneyu(Df_B[\"MALAT1\"],Df_notB[\"MALAT1\"])","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:31.356608Z","iopub.execute_input":"2023-10-18T12:38:31.357134Z","iopub.status.idle":"2023-10-18T12:38:31.370798Z","shell.execute_reply.started":"2023-10-18T12:38:31.357105Z","shell.execute_reply":"2023-10-18T12:38:31.369330Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"FC_B = []\nP_B = []\nfor i in Df.columns:\n    fold_change = Df_B[i].median()-Df_notB[i].median()\n    statistic , pvalue = stats.mannwhitneyu(Df_B[i],Df_notB[i])\n    FC_B.append(fold_change)\n    P_B.append(pvalue)\nB = pd.DataFrame([FC_B,P_B]).T\nB.columns = ['fold_change','p_value']\nB.index = Df.columns","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:38:31.372688Z","iopub.execute_input":"2023-10-18T12:38:31.373127Z","iopub.status.idle":"2023-10-18T12:39:03.090564Z","shell.execute_reply.started":"2023-10-18T12:38:31.373084Z","shell.execute_reply":"2023-10-18T12:39:03.089367Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"B_specific = B[(abs(B['fold_change']) > 0.005)& (B['p_value'] <0.05/10000) ]\nB_specific","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.092216Z","iopub.execute_input":"2023-10-18T12:39:03.092877Z","iopub.status.idle":"2023-10-18T12:39:03.103328Z","shell.execute_reply.started":"2023-10-18T12:39:03.092847Z","shell.execute_reply":"2023-10-18T12:39:03.102178Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# CD74\n\n[CD74 as a regulator of transcription in normal B cells](https://www.cell.com/cell-reports/fulltext/S2211-1247(22)01433-4)","metadata":{}},{"cell_type":"code","source":"print(Df_B['CD74'].mean())\nDf_B['CD74']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.104430Z","iopub.execute_input":"2023-10-18T12:39:03.104700Z","iopub.status.idle":"2023-10-18T12:39:03.119615Z","shell.execute_reply.started":"2023-10-18T12:39:03.104678Z","shell.execute_reply":"2023-10-18T12:39:03.118464Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notB['CD74'].mean())\nDf_notB['CD74']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.121027Z","iopub.execute_input":"2023-10-18T12:39:03.121770Z","iopub.status.idle":"2023-10-18T12:39:03.132323Z","shell.execute_reply.started":"2023-10-18T12:39:03.121708Z","shell.execute_reply":"2023-10-18T12:39:03.131600Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# HLA-DRA\n\n![image.png](attachment:666aca20-366a-42d0-ad82-2073877f35a5.png)\n[HLA-DRA](https://www.proteinatlas.org/ENSG00000204287-HLA-DRA/immune+cell)","metadata":{},"attachments":{"666aca20-366a-42d0-ad82-2073877f35a5.png":{"image/png":"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"}}},{"cell_type":"code","source":"print(Df_B['HLA-DRA'].mean())\nDf_B['HLA-DRA']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.133232Z","iopub.execute_input":"2023-10-18T12:39:03.133857Z","iopub.status.idle":"2023-10-18T12:39:03.146609Z","shell.execute_reply.started":"2023-10-18T12:39:03.133827Z","shell.execute_reply":"2023-10-18T12:39:03.145801Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notB['HLA-DRA'].mean())\nDf_notB['HLA-DRA']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.147917Z","iopub.execute_input":"2023-10-18T12:39:03.148848Z","iopub.status.idle":"2023-10-18T12:39:03.161709Z","shell.execute_reply.started":"2023-10-18T12:39:03.148809Z","shell.execute_reply":"2023-10-18T12:39:03.160873Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# HLA-DPB1\n\n![image.png](attachment:d6969ab9-ea35-45c6-a3fa-1a25442ca871.png)","metadata":{},"attachments":{"d6969ab9-ea35-45c6-a3fa-1a25442ca871.png":{"image/png":"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"}}},{"cell_type":"code","source":"print(Df_B['HLA-DPB1'].mean())\nDf_B['HLA-DPB1']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.163176Z","iopub.execute_input":"2023-10-18T12:39:03.163451Z","iopub.status.idle":"2023-10-18T12:39:03.180017Z","shell.execute_reply.started":"2023-10-18T12:39:03.163429Z","shell.execute_reply":"2023-10-18T12:39:03.178981Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notB['HLA-DPB1'].mean())\nDf_notB['HLA-DPB1']","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:39:03.181741Z","iopub.execute_input":"2023-10-18T12:39:03.182495Z","iopub.status.idle":"2023-10-18T12:39:03.194127Z","shell.execute_reply.started":"2023-10-18T12:39:03.182459Z","shell.execute_reply":"2023-10-18T12:39:03.193019Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# When these genes are affected by the compounds.....","metadata":{}},{"cell_type":"code","source":"print(Y_B['CD74'].mean()), print(Y_notB['CD74'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:44:52.818472Z","iopub.execute_input":"2023-10-18T12:44:52.818839Z","iopub.status.idle":"2023-10-18T12:44:52.827200Z","shell.execute_reply.started":"2023-10-18T12:44:52.818812Z","shell.execute_reply":"2023-10-18T12:44:52.826060Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_B['HLA-DRA'].mean()), print(Y_notB['HLA-DRA'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:45:30.623920Z","iopub.execute_input":"2023-10-18T12:45:30.624390Z","iopub.status.idle":"2023-10-18T12:45:30.634252Z","shell.execute_reply.started":"2023-10-18T12:45:30.624355Z","shell.execute_reply":"2023-10-18T12:45:30.633101Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_B['HLA-DPB1'].mean()), print(Y_notB['HLA-DPB1'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:45:48.202905Z","iopub.execute_input":"2023-10-18T12:45:48.203333Z","iopub.status.idle":"2023-10-18T12:45:48.212476Z","shell.execute_reply.started":"2023-10-18T12:45:48.203300Z","shell.execute_reply":"2023-10-18T12:45:48.211334Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# The expression levels are reversed😲","metadata":{}},{"cell_type":"markdown","source":"# For M cells\n","metadata":{}},{"cell_type":"code","source":"FC_M = []\nP_M = []\nfor i in Df.columns:\n    fold_change = Df_M[i].median()-Df_notM[i].median()\n    statistic , pvalue = stats.mannwhitneyu(Df_M[i],Df_notM[i])\n    FC_M.append(fold_change)\n    P_M.append(pvalue)\nM = pd.DataFrame([FC_M,P_M]).T\nM.columns = ['fold_change','p_value']\nM.index = Df.columns","metadata":{"execution":{"iopub.status.busy":"2023-10-17T14:36:42.949633Z","iopub.execute_input":"2023-10-17T14:36:42.950045Z","iopub.status.idle":"2023-10-17T14:37:17.888445Z","shell.execute_reply.started":"2023-10-17T14:36:42.949993Z","shell.execute_reply":"2023-10-17T14:37:17.886866Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"M_specific = M[(abs(M['fold_change']) > 0.005)& (M['p_value'] <0.05/10000) ]\nM_specific","metadata":{"execution":{"iopub.status.busy":"2023-10-17T14:37:54.840619Z","iopub.execute_input":"2023-10-17T14:37:54.841217Z","iopub.status.idle":"2023-10-17T14:37:54.857704Z","shell.execute_reply.started":"2023-10-17T14:37:54.841177Z","shell.execute_reply":"2023-10-17T14:37:54.856330Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# MALAT1","metadata":{}},{"cell_type":"markdown","source":"MALAT1 was the most highly transcribed lncRNA in T cells[Downregulation of MALAT1 is a hallmark of tissue and peripheral proliferative T cells in COVID-19](https://pubmed.ncbi.nlm.nih.gov/36869729/)","metadata":{}},{"cell_type":"code","source":"print(Df_M['MALAT1'].mean())\nDf_M['MALAT1']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:05:01.518363Z","iopub.execute_input":"2023-10-17T15:05:01.518821Z","iopub.status.idle":"2023-10-17T15:05:01.531864Z","shell.execute_reply.started":"2023-10-17T15:05:01.518777Z","shell.execute_reply":"2023-10-17T15:05:01.530410Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['MALAT1'].mean())\nDf_notM['MALAT1']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:05:13.409753Z","iopub.execute_input":"2023-10-17T15:05:13.410131Z","iopub.status.idle":"2023-10-17T15:05:13.422424Z","shell.execute_reply.started":"2023-10-17T15:05:13.410103Z","shell.execute_reply":"2023-10-17T15:05:13.421006Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# FTL","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:7c7d714b-97ab-42dd-aa50-49dc50550fd8.png)","metadata":{},"attachments":{"7c7d714b-97ab-42dd-aa50-49dc50550fd8.png":{"image/png":"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"}}},{"cell_type":"code","source":"print(Df_M['FTL'].mean())\nDf_M['FTL']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:11:14.787133Z","iopub.execute_input":"2023-10-17T15:11:14.787534Z","iopub.status.idle":"2023-10-17T15:11:14.799706Z","shell.execute_reply.started":"2023-10-17T15:11:14.787508Z","shell.execute_reply":"2023-10-17T15:11:14.798641Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['FTL'].mean())\nDf_notM['FTL']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:11:41.010101Z","iopub.execute_input":"2023-10-17T15:11:41.010513Z","iopub.status.idle":"2023-10-17T15:11:41.026486Z","shell.execute_reply.started":"2023-10-17T15:11:41.010478Z","shell.execute_reply":"2023-10-17T15:11:41.024627Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 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"}}},{"cell_type":"code","source":"print(Df_M['FTH1'].mean())\nDf_M['FTH1']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:14:46.902499Z","iopub.execute_input":"2023-10-17T15:14:46.903850Z","iopub.status.idle":"2023-10-17T15:14:46.913554Z","shell.execute_reply.started":"2023-10-17T15:14:46.903808Z","shell.execute_reply":"2023-10-17T15:14:46.912440Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['FTH1'].mean())\nDf_notM['FTH1']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:14:54.986924Z","iopub.execute_input":"2023-10-17T15:14:54.987914Z","iopub.status.idle":"2023-10-17T15:14:55.002454Z","shell.execute_reply.started":"2023-10-17T15:14:54.987857Z","shell.execute_reply":"2023-10-17T15:14:55.000326Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# LYZ","metadata":{}},{"cell_type":"markdown","source":"The antibacterial enzyme lysozyme M (LysM) encoded by the Lyz2 gene is broadly expressed in myeloblasts, macrophages, and neutrophils, and thus has been used for a long time as a cell-specific marker for myeloid cells in mice. \n[CatacLysMic specificity when targeting myeloid cells?](https://pubmed.ncbi.nlm.nih.gov/27198084/)","metadata":{}},{"cell_type":"code","source":"print(Df_M['LYZ'].mean())\nDf_M['LYZ']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:17:15.920150Z","iopub.execute_input":"2023-10-17T15:17:15.920546Z","iopub.status.idle":"2023-10-17T15:17:15.933113Z","shell.execute_reply.started":"2023-10-17T15:17:15.920515Z","shell.execute_reply":"2023-10-17T15:17:15.931483Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['LYZ'].mean())\nDf_notM['LYZ']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:17:16.611292Z","iopub.execute_input":"2023-10-17T15:17:16.612147Z","iopub.status.idle":"2023-10-17T15:17:16.623747Z","shell.execute_reply.started":"2023-10-17T15:17:16.612110Z","shell.execute_reply":"2023-10-17T15:17:16.622517Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# S100A9","metadata":{}},{"cell_type":"markdown","source":"[S100A9 a new marker for monocytic human myeloid-derived suppressor cells](https://pubmed.ncbi.nlm.nih.gov/22304731/)","metadata":{}},{"cell_type":"code","source":"print(Df_M['S100A9'].mean())\nDf_M['S100A9']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:19:30.527660Z","iopub.execute_input":"2023-10-17T15:19:30.528151Z","iopub.status.idle":"2023-10-17T15:19:30.539159Z","shell.execute_reply.started":"2023-10-17T15:19:30.528110Z","shell.execute_reply":"2023-10-17T15:19:30.537860Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['S100A9'].mean())\nDf_notM['S100A9']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:19:31.282576Z","iopub.execute_input":"2023-10-17T15:19:31.283635Z","iopub.status.idle":"2023-10-17T15:19:31.296330Z","shell.execute_reply.started":"2023-10-17T15:19:31.283597Z","shell.execute_reply":"2023-10-17T15:19:31.294954Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 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"}}},{"cell_type":"code","source":"print(Df_M['CST3'].mean())\nDf_M['CST3']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:21:43.611659Z","iopub.execute_input":"2023-10-17T15:21:43.612105Z","iopub.status.idle":"2023-10-17T15:21:43.621869Z","shell.execute_reply.started":"2023-10-17T15:21:43.612069Z","shell.execute_reply":"2023-10-17T15:21:43.621093Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['CST3'].mean())\nDf_notM['CST3']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:21:53.725563Z","iopub.execute_input":"2023-10-17T15:21:53.726059Z","iopub.status.idle":"2023-10-17T15:21:53.738453Z","shell.execute_reply.started":"2023-10-17T15:21:53.725995Z","shell.execute_reply":"2023-10-17T15:21:53.737610Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 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hQAoMYYKjMzvCZuZrTCd20CRrUHrxt6ufRPw6d8nCBl+XPNVFfgDaz0pAK9T01PnGsKHR09JLEwXCO7y7B0Haonwe1ZoNSURrUJgu8CLp+J224en4BDE9oE9WNzyoMhg0ZXliQzxV3Xb9Cq477KBhHAMCST69P8MxuMKjQ8wGGg/go+HARhFgLS+c18c4GQW0Ax4MSA6PFN9LQeHswzhM7+nlmI3QgLsmyw7ppowZ16mjFOaAIagOdUhpMBnQKGnIJHt/Wz/u3xYTnI3/OeU/z91R4Ya/jJas9k+XJfQ1DyzmPCI9tyvDM9rhQHZVRWzmW5cOnoZHQ2+E3KbuqRRtFfXKAJ7CNspHEbwKde32aZ2AVicHM7hrCirutXzvqo3AwFXZ2vRVPNy+j1UtqbpKEaMOr1SbjTYSqR5TxVuL9HvcZ0E0bMBSrvpmsXZvq6RzPT8knEpFOoAayXx9HPN+j1AnouHVZ7/sQnEGnSrx0eobrnjylGkRhQGRVRFUR0EaA0d2NKZ4ddFQY19sChvL82QleGpvmFf9Avgv7tbM+CgcTy+leYYaJoEFmW851uU0fBMP3vPO3h27aCIMvy8fF++ZB903xnJrlpoZ5WtNlGyxVGzQsk+77PPr4pQLPgu3jGyoA6u9RHltrVifq1/yj2AHD/NG1MfMqBG2aWuGgXN84h/pcSXhb8DvNxrjkruvXbvqoPfewlYyxy1VMgmBPPjrJNo8Ms8S9cAyPvMBYZDX+7aObNtjo3iqr/pyxuS99hk0m82x4g/PKwouzjGHou4mlagOt7r3KalXGrn7zM+yJ64+x/E75vgsLrBKJsKjzzGXhq+Ms9uUFNn9xjuXXTbLMH21lh74pUwdeG2PZDx5iZ5xnLgtfPc7KO0ts4eI8mxuJs8mdcbb185MypH+Vjf3l+9kh74ZwjD03yU59MMsG5DmsXN/PCs/NsUOR42xrQvtOP3ddv0KrDvsoFI4ERnmyL8XTakkCaqdA5wTDzDdHSbppA61w9tuS4ik9sCMCQb6lTGOp2vCpIR6HmTaFuqh6D+qp2zQ3owumH8R5/MC0fA4z+5k8z6wHPX5bmqdghneTxlya26B7Uvi018J1BJ02Zrp2szme3OBTD4DKSIpnDuJ3YhqC6Yrfff3aWR+FgxXQn3xlRviJIxvSfGAkz3O7wUBar32JZP7pLE+A0dVJm9rZHE+vTfIh0UmgOwuLPcHTg3meP9IPBhJ0oM9466aN83tiPLkfc1S6aSPPbzUYUrvBRhgZ4Gk0qrSB4KE2wQfW+y486KAzp0t84nzAYmxqA0pPFfX4080BLwdnUGJEs/E6HHtQxgImhzyCc8t9tIj9uuR9FAItDlDnlakCzw0O8KGR8aZAgkiE2jbs0ztbtxE6JUi0nkaAYGSvcGSADxzI83Hfa121QZ1yGxiHvuBMN214tcxLI0N8YDDHi0EDWYIeoFhfQ08OQ/g2dV5Tbkg1KGGl6IdrnX0wwaMqYqwJQO/6aBH69Tb1UTu8gbDATkGDL2FeZlp05PQBUAVMwZwet8Gl0ag+IEHtumlzzZtwhjNfaTfMQK1cb920cXP6GW8kJeJKUZSDcsIpfhHLv5o1qY+6wVMSee7IZvapb5hK3WrsxtVVbJXBCApuA8bK9RpbBcaJn6tf28W2/gMYOwa6acOu32A1aNPU6uoY2/XhJ5mxVcdt5tjxR1Is/qYVbE18K3vo04+xJ79SZvFPf4atHMmxsdfk2zx00eb1M+yxh4+zVY8voIua7bpynO1KbGaf+doCi2zJsuFjBZY/kGax12fZ8f5d7MS6HMvtwLOgPuoGTQAWWPmHb2LxB9AV4CfO4hsW2Imjp9hVecShVRvGEvHNrPSP8EP1wgVgZnaWxdcl5DMv3bSBRmzz155kT/5QPlecK7PZ9TFmbNVhm4VnJxkbPMOqN+ts9hs5lk2sYgvPPcmyewts8vIYO/R5/7WBfvruGXZj5zhb6KDN7P84xGZ2nmAFGNRXv3aCndk+zqrPZdmNkRTb3H+czapxvDLOUo+W2MxoRg4Q6qOumL4E6zMYb9OHU40ggwlhoWMqQZ6HbiOifU6Ur3QB2tzEJKZ+0FM1y99PN22A8lEwqDAJawz0RXhf/UIR1IhGUMdE2DaYWx9Tv8fENdDR+0AV0bwxwnMCenJ+qurVXxWGNqjGlPZCG5HoVuY5PdADn5fsy0ijMwCL+6hbWExU+IBOiiHvFj9eIFIJYDCEalPjlTm47JirIaKm2CbiSa02MT8Hpl2HbRToiuzf6FQFRXDwBeagABcr4re3bYMVRZua3ZBNCBedzN8R1Vgt3HkKvY2fc8Me1+PM4aSsumpDR30k6eZ6L0UfSbppExbNCK7xiZMhLpYfmHWG9xbBXveCM2C8L990vCVYXYQut96dnxmP8dgGOI/Yfs137zLNi3q6NF6/o7J8D70kDxrSkuFI6ah+jbU2fmP5fI4n1zmeFpEcFwWBWuzrcjuYHefFHg7oTmkIQG2G5/3lb22pidrMJj8sCEV2fYfLFAxKoRKEGZTdoAl2+YspHm+lFuigJ8LktsQA1Y6COfyOOxSsyzb5zvlNuC7rYMaXTxVimYfZzZmxGzW45VGYYXEmX21IdEN1B9MJQsy6Lt20QZfo2aAYRTD1KzLDsw3zMMF4S0+XFq8bFE8WCw1Wewvjg8BkqWiT3lfn43vghIKCEzJY5Fb4SMpfTIYblKKyquxzLbYGV6NhpT7gwDUEdoJBX3SEx3drue0o+PsSPDPaPMc7OFHfiM8nj7ZEAiPBerlmrcT7QV0qYpYnRoZDTkLzRw11wm3ovI2TfenYP+EnpvJoBuwfzHUK2UmyYMdb5L40+AQAOu4gdNLOAZ7FQgO9MN4PJkutjsIg8AUpkLohqQvBGQjTBTbEYcbzGYBgSKGR0wphWK6Nw8WN8UhQhZoB7PjUSEMZg5/XGjTqMDNzDAQVjTxZHB6JwqDfm+WZjeZa0/qFadGmhKV4IOgi5Xh1jKd2D4j0XVXbW3kKdWeZ1XkajFvfoDTX4DaozVV4cZ+WQBaCrtqM9fP43pArpQJslyQm0alrDNcSs05bTlhB2a5LgEcAMD+jccI1bi6MR3BWhMF/ICfyX8IZQE4btTKIiCjYDuWTOT4wOMQL7QYzpsxGpVoljMwET6w3GHk1XOZ9MyiqMSrLsR3CPnAG7cBezInH83OKaNQAN6U6OJ6ifjgXFBBMJXB+Q/3SDJ9QQiHfK7gIvxNraHH514TTBWfFHYZUa46/Dz5/dZIPn5WH2tJNG8y+jPKhSflE58JMYCYqrnxuG1Gk45wjg1V3wiRJvmxX97oElp72Fk0AnPRe/wljBVG/GuTyBLCzXUFRlT9tZmSx/OsqDnpXcH+ZPXmeP5gGtSvSQqXAvWdiPH3MeR0TwcSgwZlZFkg3tuuD2XsMZ1BNjUM1YwvMSvJ13Dqjgvk3hqJpT8E5gue3G9WZFgY9GqweO8FxC8ZXg8AKl2YA6EnBfBh083VUzdRqcgqifRt/fcDEIPTJyeZR619RdSYGYWKEGbx6FjSE9dAHcjafOYh2jPMeDzg5+R0GeF0Op2BMwXU51cl16RzPChB0wuP7MDEKjDPxDGaTHc06NC7bWNWUNLnd0CsCA1I35LCu1TPQMKcl0GsEnXc0x0uX4E+c/TcN8Qn1HbCSpPflRXmhJzzu2d8IfepO7r5wpa2F1WNjmg9P+c91HmZKw6AVBnqMD/mKaBRBAwKN7Zie/RmAsYbWQPV8iedHCu4KFKa8UeTajMD1kcIe2OYKTHRRX0klumlBiHP6aiquRTKgNgBQaRygymSfVoPX2f1CXL8rVW/Bz0XMKzK4mWHM9O8GzaCpj3qL1wYwnnCrXcl8qPTeJiNObmKEWXxg7VdQl/cbz2ichnGb4oyxp+TOYBP7k+7ARBUu4SkUacx6CczC9BtlN2f4OAZY5FNkfF/EXWl0xvcx8wyGwPlETG5POM5g1fODk0Ua1LcoLP2Zg9Lro1bSgBpasYJuH+aF0WHHBlGrqdq1w1DeKGymLVmeH83zLNogeM3xhYA2dTSOUAWU5Z6Im325F4ToJHwOTAQmB0cdBnaQDVeF803I5L2Zw9AX+6e1a47ZriCQcD66vdPYBW5xYbjc6DuMeU54rMhzMKA9OextcQZ7arCxdZ4L6ncwKzMW41lfjSgGehobojaonveV/KHxHU3ygbEy2A+gZuiBJE2lELW3ksBZb6EEx53IqXscYxE4e+lqAhrvpoJzhbAb/DN4gKcIV0Mc5DAjV2fHxSZWOOjVVn6mck2vioWu54bQi0ELNJU3Cu9Sw+WJq5H7W4LaCAyqEqygRczYNNpqjqcogm5caNPv8R6CirojwaNbYMVW11c6O2qnhnlWGbtaCvbwKNhLo6DC+lejRYIZdxgTJwzG3PYMHzjW3h3aEWqQ4sVSFwA9B4aIKM7o6HlJb4eLqHWIUBn6YCZBY9fg1VAF0p4BGTRTGvY9cgvON2aEZwJ3JcuM+oRTXKMhngdBFNfH4ylyvD4JbV9LBapLfjUTZ/eItrNxEzCTKxXLW6cLKtuDaV5A+weENHcQ1E/nBUfQ1OqD11eLKk8MxviAsvU071tFU+WcScM3OZgQwgkqDLxHlGv6vYfXauaVASdDj7ELdtOpPB/anebp3aDuLpE7lAXuMLbI368GWXwnCFpTkQhS4fk+6Fy1U0DYDlGIlICks3OAplKYZz04fibH07oN47pCJ/gM5tXoCM8FvPdhGOjQ4brK53qKzjbnAOGsl94CgtYktGijNOpdm0DVFAewr05XzPKYpgFD27PDHCK2C4fX6vBbQQ1q2GzwXZsaUWVUNYT//VTOt8cn0G5TNAAF2psa3YGB3rUToHewjnYY6zVykHqMYRdUl3w2gd4hcjuM2lQelmZcnnO8gO5GMfhAvYCBXq3W5MB2bA/TSjY/p3WSaTNYEzAjx/crq8jgdQoguKC9jQDgZAAqVhRUP7ePYPA0VCy4VgxWNjy+ABPFgQn4VU4wLhrFTbTUl4F6CqqQCMa5wO9/qp/HQIVJwnF9KCuCNkWrHE3zGEwaJttITFhNm2fJWR77SyuACesEWAwYSi+qGuF3GFt8hJG4EToPb4hgmHiqZ4p8XGVMbgTdEwZs7otYIeT47lMb0cuTkAlh6mFaZUB37/MPSH1A67k+kisVPn4AbBB/p7teJ1jS/VuU6MDAFQEyzU4RRmKTmxUmpYNw/sq966pYcZ7ekeHJtTBgMBgHS3UdJgZ0YacOl3gOdG43wKi+a3WMJ6GNMLxFMA7e/zDYIUrIz4NxexAmEvz9fv/7uSIvyMmmCWm4+1fZIIQhvzMHtmUJVG50fWOwT15j8Vnhd3TrFSz0DmNLhTQScyfhIonZvs3yCAaUkz7g3cHZA27p3bTZjkRbhnXDGQd07miz8V+GJR/zdjJPGSQTunLmdLPQuMEwbc8fd9bbBMKKtkLTzzNt/w1HF5zPEhFqYXyDqvEM/JYrqOrgZKDHRBzqV8p8WqyMSi2Dzx4bF6oURojdVUtdC9xlbazCa2icwuc3u3+1ck3AcYEHR64FSiXTX8exBqpkq/jPYsNcg6/VDmNLCO6bo7shXYO25ZaGbWbtEHSyDON7RQQ8zHvRFbkhDca0YxhjcMcVtDauT4E0FpvVJvhsTFVQqhh6r8A+KBmEJhhn5RC7smlCI665SD+GQf1F3/U0lmsCWj6P/lku6BI2RePPDovV73aJgBMHAIMvcIexJcQxEnEbPXlAIXT/JFzcFp4SxHRzDxOzE4YCbAANxg2MRzYOtVZjkDDLv88ViVTPDDtBQS0Pytk+MAqrSsAwCFilUACiaBxjcAoDeNKGCLt5Vm0SVgWwk1ru+KwjjH8Z0MS/3xcBgXZWC6cdrloghD7tQbhqcQVYbaiRwBW/07T5HtIIhJl2JVti2nVc0G5rXpQXQu8YL+LeAcbVYoYP7wYd2O8pQgE8KG2Lvgwf1j7XWf4Ne18ipwd4xBAIE3lQ/lTqaoXPw4+pHIXvMUXT0RCGFTqlG5aoAmFlFghPUwxFtzVM0VQUTnitITQBsRINTBNRtiG6Y9GYbnjnAlZoHOBrnYEv3L242rkeJYyVYDr97Rr+IACOzqaFqm8LoMJMTUv3Y7OR2A2iYwabPRcuptUC/eVNOf5OQCt1GFZHEIzyqZxQAfR7V5n2vhSzHnb+Oi1tQ9Fq1guyaW6CKtRkKAOwoiQ2gGAGzOC1s0U+bvIuwbmmXE+WRF1706a5XZZrYt6WrtI6EwaoT5jMiIb8ng5v79pjWMtdyZYEJ5KI3oEJTXfsRM8OS/V8kecO5HlJZXOiaiFWi5j0GvlStBEcrE3JWmh8RoyRa4E76zkznN+zIrwhhuh6o4gEJgStLqNyqSKSwxquVx0nZtNJnATdl4ktSZ4OmHmDYiUuIDxhyjXLzxRhRTXlVjkp0p57jd0mWOtdyRYfNBKTes55tex4OXD266VrTOQ5JXk/Rna1FGdEeWn8RToCVGNMk0OL3CXPrKdmVVkXkN0BgqanBiAgUMLFie5afeXDVQoNZ2Vw+ga2SI47IhPdsP/c1VMPXGE8IOH10IQxvlsRqlxTxmww7WWsjUDdRrzJcLcBVC+Uf752Fg3EKE9tT/FYj3NBcCZ2U71hALj3CfBFOMtH5R7+CtSV/QmCCAqAwXsRNOt56gJ8kw1mxqpqOPw7AtfAcwtZA06aCO4U560/QMQ+peiNUYMywEOj3JctyxGvSCHE+EPYck2NRoS99fncLlgX8t9TcJex5L4CL43Ako+zn5yRsEQyMPuyQ2pz43wIO18+VyjvSwpmR6dvpvnQuggMQG+HCVcmuhYx0ovHcEuTbVHD7mhdzHo4myr/OBb94J1hrjU8TOaINBjrm/QJAlWmdvUHVV58OOYkrOku0ibhmOcVbSXEewAnD4zDMadcM9Sq4S/wDxthvw3cdgEQRh/MmIntYPS5Fwc3f22Rc94RTqYmYxleNI1J+P4JLdKJM2tyX15kwepbcAgPlVRHMNe9yc8O6kf5rGOEdjLrVceyvF9uk+i9LxgYvZtSPCM3hdWZBxsjayjID64/cAx5vLn1PN4+tMnTprkvz+Y0DxlMCHrtBeBOGgGrRlCBvxBSjNVgav1tdLX7uT0qEKgg4yO5RialDhqmuJmTKZ26azpJ0MI7j+DsKiOxIlzfJiNWuCPBkH4YjF01K3c868H3wntdXRo9Uqa7RIrU7AhnmB7t/1gMNu0sNl83rKHQDXnXVgjwtLkespTZzpF1HyJfv9MC/1bX8Taw9AIgCuNBn8SUYbjIXr20LCqveuYau1nnNW22CespEYa5KjiRkdjACCfQVEbp0nrWq3u8IHDum2K8/ykQUBAeoWI13WNAogKDvizNwJoKWNWiBg9S7WQGZuoI7zdUAeL9hh0PWXA8BQfzrRb4326WWABgKdb2EcIOSz2sXUBxtDfUJnGpxqXY6/FxM0qVrxvzZDB71DMYMUXAm3np5MiYDHNv2rZO9dy0owL4O15LJxDqlMoidY/Db8ZEN+fdEl9yHOBmug4WeQl+n6n+QIB2hmErGAxmDYxhMp08IBF3rtzoRN1DpaLISaLzAv/bz9IKgDD4ZDoD5rarJLyLRd6/joFeWjQHhzpFVI3JKGe1yDNg1Po9Po6v20kZxgEX24BxgCh0fIKncUeIh5MiWqt7eWpVg7oA78CENNNuC1ggLgx5T+klGKOgPoiZHp7VxS39Qd3Q75RixJwc52aJvj3dyO5swolH4CrmqiuYPhFQ2zu+L+bdHCFgxXG5WOZluDa3O7e/GxZXAMBYS+uRVtT9p0wGH+i/O4d46XwvLhxGtRseGlxlMNswsC7AHxHGzNE5dFkWef4IGHHOu1oiXJI4w+pjAwuMcH9Q/BliQ1c1i+Js6ctpkoE1Uy1yE3K29Rux/pqE2tkCz24HI3qwIN8nc35gMkBhF1FYwyozcTLPhzA5Th7R0esCapNFZzUSNlMjpeJ25vZ3wyKvAEHGp5w1lYrhK9m7NXAwQQfiIEejTEv1rsBvSW4Do6zJVdhBQphGI3IL7YWK5JSXlkaHeRoGGfrHhQt1RxFsGjWLgrCZsiLRUA2bFalUMr8Ri8J8EK6jyPOBcxmRKeX69a/XeOXsNJ8BI78JuT1mhBniHj6U7p/qg4f/Zh+3GmhbQpZEBTIZn1h/ih6C3ChurmVIQegGvMkzDCI1u4qELdcow5UBZqoAQxYJnU4QELmtz43z/AFQnwZlTatnl2gnZaGht/sS3kBQVMS5NjnhnkNHyXESUTesGcOdpEng7wy7PaZjRLPmIhqJscB/mbF4AiBTGtzNp5Tx6eqRuGzjrnADPNcjnRF1bj04henCEVBtpqt1UXUVb1V4rnBdhAH6LhA6cis2yXX86EIYB7FUEfAnvIkiJKVGoFGtlUd2mhw3O86Hd+PqI58r/Ma/DhiphcEMz+A+POqcTcmCOrBazHynwisBuv/EflMhzfJjUQSgNjnEk1HMfcEdFbDyv2HgNYJEplmte+YvTPDctqy8+bLC2etUBGZgQCs9NQxN6QSKjiK3si4X/ekb/FsDqpkWDPR1GV7QBjduUOaNMntn5VbJcc5uywxsHfPs3ZToJuIKKT50CgxZkemqTSKoaqEKa1DNaiedjZGVALq6/4PDPHcwzeOmHbWXIb0XAH0PTwR92n0MDFHtwqsgkWkG6wbRiVGYiTO8uMiuts4jt+jfx8KRAFcvzLT+0kv02xsjujgrt0iOc2lKbwgGVzD3HFCFhMnKObt5Pq/aGgeyU03mKWcUAc4hPnCgEELVWh70WACci+KdvWBRHzFtHYgpsd73dYKYcTbCsquMwHauui4RRqxRxw0ZucXZ+8I8rxu9Nxr6IAtItGsJDL7p0TzPn5SxB/heo9vUx/g+mKzQKYBu0W1anANTutv9BnwPZoLeIYPdRG8FQOyq5s/hd9ySvUpsQ8SgXAsD3XD/rV6rWDjLR9c5tbxe/zbO7G0ityrvXVXCB3lvUO9/EANiqkJtgg+sBnXuWk20Fxv5gj0l7qeLu7P5t3gUK2CSZ0cKPL83xWNrGyuwU2WHTgazCKgoNrqL9YlLbE0YolJL5B/p6ex3GL1XgWSeiEokE4O1V6oO4lexFFPQ+WrmV4ZjL74Xt1vfBAYo6McoWJ6IaKvILaoTa51CmzhWQGmF546+7L3Xrrs5gVhtcCXFKDY+nOAclmJiYf3QMX8Zp1PN526KBatHSgXwQACdOgF84sUN6onUFPgesYmWc0jULTfZLCAUIgU7zhPb+/nQSJHj/ku1a7ASbrqd1YS3xqIYwWLZVwbe6lYbPnUOzlhNASPRiVGYWfUMzFtTsXREhii6U6VgmeoIPGDBuH4nQ2VMYrqyaxs1pyC4nhq4ZhlYEULdFA9XDxW4EkEpTSU5PcBjJrVM1DhoQUF1XiBsuIO2qC3w9xmoSONjZV67UuEzp4s8f6Df2bsJhBTTx4UA9WDFXWoWSQAkqPfKhLfe7PVo2r7cCfOLZDTsSLH6DPU25dbNEMUnSrgNUWUFBrUMwS4shRS7OMjnQThqHOOxHfng/BsXvK8D5i3VwaAFNUjbHtFrpEtwsoAVJTtaktdKc69iFBwmDdNX4meZb2FV57W5GV6AVcicELi8WVwBQJTei4UYoC/fGigA/jyVKp84Vmy43HB2u6VtNiq8dAR3xp7mZdC/VWGHJ0MUEX7ymHmDLKyZNcUc0GgM+9tUjo/JqBcDtbEduUhei4KqBMKl3ilKFdFF6xFQb5qIK8xoKLfcTwnbmRP+XJRqGliQszxZfAGQ1M8XebEHtb04E+HdWoJ8zOhxCixWDwEGrHBZj/b18+yOlLwfGei9qMu/3Zc8Jn8DGowxj6cI1BIwirEARV8hcDsUscmtfN4eGKCY46NsGVzhdoNtI2wDeGCdsVT5nEKVCI9tyvDMdtwT1BT3cIzrkn+Kx82p8JzhHIT7UlfPatBmY1LEMUz5QTrzo9neRPSXkCUTgJ4B+vUwGIveuzZK0Avl24iqG0xb/dXBaMQcmrLpszXd3fUUwWDV97wvjmR5ci3Mot3OkMLTE3N+kzxvlUkawcEpBm6Nl3FHa20LRi/OCtpUw4tu171FEVyL7vgH/uV9CY+dtVjBy+XAnScAiBxcmEufweQzdBHiZqvoXuxV8pXyZoUIJilE9FjcT015imAGV7shHwE1rYXd3BpHdTHeehZUQLSBYkb9vBmhLoExPqypVU7GLD6f4UO//w7+n//UsMJKQ3k51vXeCnemAAjqvDpVEDdUwPt99d/SAAsiXDDJRQSGUrw/jKeoA9AL1dJ4voI1DyCoxtlZCuGRgrvti6MugcqDm1NtiMGgli7PH32Sv+Oet/NP/FC8DZBbqrjRXuUAUDXDdz53sAAsIYYobu2Kr/tFTr/yx0vdvZWnKDROUb/HW9MEBuXMBqhTq5Dm2b3OduTu77kJv9GjLn2Pf+Lt9/LVH2049NHwj5vcm4b0jTsVEoCwCG9WVm7SBQNuozcoJnZ786shIicH1I1bNf5VHIEFzLwy67R5SGKMQPPeaGqd1y1d409vXcXfwN7Jd39DSriIrWj375VUpsabba87GBKAbpE6sXBTngSVwlBz22ucvH4VLZYHgaBieLF9SpPbVVPrTmoBxXqdz30NjX9MZSnwgla77dIjJ8NyggTgllCqDuOx3Vj1JQ8vJj6PUx0HpSFtwfEaRTjDWIBpxr44wadNHim5SuAddYbOaB+KyXJ9cmv0uwgSgF4gi0da6+m9RbkmI2CQBvreu86Qbd4TCVcZcyT4zoYEoGfI+ucgPX0xqJd58aThXm6+W5M6wgIGcKd+fGn8RzYkvPdjvosgAegxQk8f7CTa20u0CjhMPdFdt8qP32mGrMf4v/tYgf9jxF3BwpcfYpu/sZlNTg6xNV95iMU/f4at6TvECseGWAqkgrEb7PLPb7Do2yPi/QRj98h/iTudq2Ps0JGV7MmxIZZg51jhacZy5+ZY4Y/OsF2JrezQNy/Dm1bS4PdBAnC38HKVXd75EOtfDbLwbIGd6XuMDayLstThPHssWWfnnh1nc/KtRANSge46rrKxR1Ks8pdlltuET8fYro9XWW5qiMWcNxAatALclSywc6fPsMs3LrNTn8+xhT9N0eAPgATgTuR1+a+RCOs/WmLJ53exNW9awwZ+nmXHDybka4QfUoHuNF54kn1kT5mlvnScDW1pYdCikNzr/EkEQyvAncb7BljuEcZKO+LsI38Lao5pNXh9lj3x4fezJ34gnxOBkADccaxkicESK587zmLP7WLxvs+wUy/LlyTnjgyw0vtybGCjPEAEQgJwp7IuwwpTs2z8wwtsIPl+tusfZ9kNPP7tx1j22c2scDQN1gDRDrIB7gJu/OA4y+49xM68I802X1xg8a/MOC5Qoi0kAHcLN+bY2H/PshNrjrNp8vqEhgSAsBqyAQirIQEgrIYEgLAaEgDCakgACKshASCshgSAsBoSAMJqSAAIi2Hs/wOtSSKeXP5A/AAAAABJRU5ErkJggg=="}}},{"cell_type":"code","source":"print(Df_M['TYROBP'].mean())\nDf_M['TYROBP']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:23:46.775274Z","iopub.execute_input":"2023-10-17T15:23:46.776714Z","iopub.status.idle":"2023-10-17T15:23:46.786662Z","shell.execute_reply.started":"2023-10-17T15:23:46.776669Z","shell.execute_reply":"2023-10-17T15:23:46.785716Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Df_notM['TYROBP'].mean())\nDf_notM['TYROBP']","metadata":{"execution":{"iopub.status.busy":"2023-10-17T15:23:47.426252Z","iopub.execute_input":"2023-10-17T15:23:47.426632Z","iopub.status.idle":"2023-10-17T15:23:47.438618Z","shell.execute_reply.started":"2023-10-17T15:23:47.426600Z","shell.execute_reply":"2023-10-17T15:23:47.437663Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# When these genes are affected by the compounds.....","metadata":{}},{"cell_type":"code","source":"print(Y_M['MALAT1'].mean()), print(Y_notM['MALAT1'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.250511Z","iopub.execute_input":"2023-10-18T12:49:49.251037Z","iopub.status.idle":"2023-10-18T12:49:49.261241Z","shell.execute_reply.started":"2023-10-18T12:49:49.250995Z","shell.execute_reply":"2023-10-18T12:49:49.260089Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_M['FTL'].mean()), print(Y_notM['FTL'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.263186Z","iopub.execute_input":"2023-10-18T12:49:49.264153Z","iopub.status.idle":"2023-10-18T12:49:49.279286Z","shell.execute_reply.started":"2023-10-18T12:49:49.264121Z","shell.execute_reply":"2023-10-18T12:49:49.277840Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_M['FTH1'].mean()), print(Y_notM['FTH1'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.280955Z","iopub.execute_input":"2023-10-18T12:49:49.281308Z","iopub.status.idle":"2023-10-18T12:49:49.297974Z","shell.execute_reply.started":"2023-10-18T12:49:49.281280Z","shell.execute_reply":"2023-10-18T12:49:49.296999Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_M['LYZ'].mean()), print(Y_notM['LYZ'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.300689Z","iopub.execute_input":"2023-10-18T12:49:49.301103Z","iopub.status.idle":"2023-10-18T12:49:49.314036Z","shell.execute_reply.started":"2023-10-18T12:49:49.301073Z","shell.execute_reply":"2023-10-18T12:49:49.312837Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_M['S100A9'].mean()), print(Y_notM['S100A9'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.315499Z","iopub.execute_input":"2023-10-18T12:49:49.315938Z","iopub.status.idle":"2023-10-18T12:49:49.333407Z","shell.execute_reply.started":"2023-10-18T12:49:49.315891Z","shell.execute_reply":"2023-10-18T12:49:49.332227Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_M['CST3'].mean()), print(Y_notM['CST3'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.335044Z","iopub.execute_input":"2023-10-18T12:49:49.335676Z","iopub.status.idle":"2023-10-18T12:49:49.350581Z","shell.execute_reply.started":"2023-10-18T12:49:49.335616Z","shell.execute_reply":"2023-10-18T12:49:49.349765Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(Y_M['TYROBP'].mean()), print(Y_notM['TYROBP'].mean())","metadata":{"execution":{"iopub.status.busy":"2023-10-18T12:49:49.351513Z","iopub.execute_input":"2023-10-18T12:49:49.352051Z","iopub.status.idle":"2023-10-18T12:49:49.367018Z","shell.execute_reply.started":"2023-10-18T12:49:49.351993Z","shell.execute_reply":"2023-10-18T12:49:49.366147Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**The expression level is often the opposite 💦**","metadata":{}},{"cell_type":"markdown","source":"**Will the compounds act in a repressive manner on genes that are expressed and in a promotive manner on genes that are not expressed??????**","metadata":{}}]}