()
| 273 | return data_dicts |
| 274 | |
| 275 | def process_Customized(): |
| 276 | def load_file(postfix): |
| 277 | # df = pd.read_csv(os.path.join(ROOT_DIR, 'data', 'cell_line_data','Customized','crc_%s.csv' % postfix),sep=',') |
| 278 | # df = pd.read_csv(os.path.join(ROOT_DIR, 'data', 'cell_line_data','Customized','tcga_DLBC_%s.csv' % postfix),sep=',') |
| 279 | # df = pd.read_csv(os.path.join(ROOT_DIR, 'data', 'cell_line_data','Customized','orginal_columbia_DLBC_exp_20221014.csv'),sep=',') |
| 280 | df = pd.read_csv(os.path.join(ROOT_DIR, 'data', 'cell_line_data','Customized','orginal_lstaudt_DLBC_%s.csv' % "exp"),sep=',') |
| 281 | |
| 282 | # directory = os.path.join(ROOT_DIR,'data', 'cell_line_data','Customized','TCGA_PAN_RNA_TPM') |
| 283 | # data_list = [] |
| 284 | # for file in os.listdir(directory): |
| 285 | # filename = os.fsdecode(file) |
| 286 | # if filename.endswith("_tpm.csv"): |
| 287 | # df = pd.read_csv(os.path.join(directory,filename)) |
| 288 | # data_list.append(df) |
| 289 | # df = pd.concat(data_list, axis=1, join="inner") |
| 290 | return df |
| 291 | # load all cell line features |
| 292 | save_path = os.path.join(ROOT_DIR, 'data', 'cell_line_data','Customized') |
| 293 | save_path = os.path.join(save_path, 'input_cellline_data.npy') |
| 294 | |
| 295 | data_dicts = np.load(save_path,allow_pickle=True).item() |
| 296 | for file_type in ['exp']: #only exp have |
| 297 | data_dicts[ file_type ] = load_file(file_type) |
| 298 | return data_dicts |
| 299 | |
| 300 | data = locals()[function_mapping[dataset]]() |
| 301 | return data |
nothing calls this directly
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