()
| 64 | |
| 65 | #create a dummy synergy dataframe |
| 66 | def process_customized(): |
| 67 | # drugcomb = process_drugcomb() |
| 68 | # # drugcomb_colon = drugcomb[drugcomb['tissue_name'] == 'haematopoietic_and_lymphoid'] |
| 69 | # drugcomb_colon = drugcomb.drop_duplicates(subset=['drug1', 'drug2']) |
| 70 | |
| 71 | # # crc_exp = pd.read_csv(os.path.join(DATA_DIR, 'cell_line_data','Customized','crc_%s.csv' % "exp"),sep=',') |
| 72 | # # crc_exp = pd.read_csv(os.path.join(DATA_DIR, 'cell_line_data','Customized','tcga_DLBC_%s.csv' % "exp"),sep=',') |
| 73 | # crc_exp = pd.read_csv(os.path.join(DATA_DIR, 'cell_line_data','Customized','orginal_columbia_DLBC_%s_20221014.csv' % "exp"),sep=',') |
| 74 | # # crc_exp = pd.read_csv(os.path.join(DATA_DIR, 'cell_line_data','Customized','lstaudt_DLBC_%s.csv' % "exp"),sep=',') |
| 75 | # summary_data = pd.DataFrame(columns=['drug1','drug2','cell','tissue_name','score']) |
| 76 | # cell_list = list(crc_exp.columns) |
| 77 | # for crc_cell in cell_list: #0:255, 255: |
| 78 | # drugcomb_colon['cell'] = crc_cell |
| 79 | # drugcomb_colon['score'] = 0 |
| 80 | # summary_data = summary_data.append(drugcomb_colon, ignore_index=True) |
| 81 | |
| 82 | # summary_data = summary_data.drop_duplicates(subset=['drug1','drug2','cell','tissue_name','score']) |
| 83 | |
| 84 | |
| 85 | # for dcdb |
| 86 | dcdb_tmd8 = pd.read_csv(os.path.join(DATA_DIR, 'synergy_data','Customized','dcdb_tmd8.csv'),sep=',').iloc[:,1:] |
nothing calls this directly
no test coverage detected