from katlas.core import *
import pandas as pd
PSPA scaled data
Normalize so that each position sum to 1
= Data.get_pspa_all_norm().dropna(axis=1) pspa
def normalize_pspa_row(r): return flatten_pssm(clean_zero_normalize(recover_pssm(r)))
= pspa.apply(lambda r: pd.Series(normalize_pspa_row(r)),axis=1) pspa_scale
# pspa_scale.to_parquet('~/katlas/dataset/PSPA/pspa_all_scale.parquet')