comparison COBRAxy/ras_to_bounds.py @ 58:42a8ccae86cd draft

Uploaded

57:0b4be1dbdbc4

            ras.set_index("Reactions", drop=True, inplace=True)
            ras = ras.T
            ras = ras.astype(float)
            ras_list.append(ras)
            for patient_id in ras.index:
                class_assignments = class_assignments.append({"Patient_ID": patient_id, "Class": ras_class_name}, ignore_index=True)
        
        # Concatenate all ras DataFrames into a single DataFrame
        ras_combined = pd.concat(ras_list, axis=1)
        # Normalize the RAS values by max RAS
        ras_combined = ras_combined.div(ras_combined.max(axis=0))

58:42a8ccae86cd

            ras.set_index("Reactions", drop=True, inplace=True)
            ras = ras.T
            ras = ras.astype(float)
            ras_list.append(ras)
            for patient_id in ras.index:
                class_assignments = pd.concat([class_assignments, pd.DataFrame({"Patient_ID": ras.index, "Class": ras_class_name})])
        
        
        # Concatenate all ras DataFrames into a single DataFrame
        ras_combined = pd.concat(ras_list, axis=1)
        # Normalize the RAS values by max RAS
        ras_combined = ras_combined.div(ras_combined.max(axis=0))