comparison COBRAxy/ras_to_bounds.py @ 67:1f928ad6a87e draft

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66:c46df775b9fa

                        help = 'ras selector')

    parser.add_argument('-cc', '--cell_class',
                    type = str,
                    help = 'output of cell class')
    
    ARGS = parser.parse_args()
    return ARGS

########################### warning ###########################################

    ARGS.output_folder = 'ras_to_bounds/'

    if(ARGS.ras_selector == True):
        ras_file_list = ARGS.input_ras.split(",")
        ras_class_names = []
        for file in ras_file_list:
            ras_class_names.append(file.split(".")[0])
        ras_list = []
        class_assignments = pd.DataFrame(columns=["Patient_ID", "Class"])
        for ras_matrix, ras_class_name in zip(ras_file_list, ras_class_names):
            ras = read_dataset(ras_matrix, "ras dataset")

67:1f928ad6a87e

                        help = 'ras selector')

    parser.add_argument('-cc', '--cell_class',
                    type = str,
                    help = 'output of cell class')
    
    parser.add_argument('-rn', '--names',
                    required = True,
                    type=str,
                    help = 'ras class names')
    
    ARGS = parser.parse_args()
    return ARGS

########################### warning ###########################################

    ARGS.output_folder = 'ras_to_bounds/'

    if(ARGS.ras_selector == True):
        ras_file_list = ARGS.input_ras.split(",")
        ras_file_names = ARGS.names.split(",")
        ras_class_names = []
        for file in ras_file_names:
            ras_class_names.append(file.split(".")[0])
        ras_list = []
        class_assignments = pd.DataFrame(columns=["Patient_ID", "Class"])
        for ras_matrix, ras_class_name in zip(ras_file_list, ras_class_names):
            ras = read_dataset(ras_matrix, "ras dataset")