pyprophet/main.py
def protein(infile, outfile, context, parametric, pfdr, pi0_lambda, pi0_method, pi0_smooth_df, pi0_smooth_log_pi0, lfdr_truncate, lfdr_monotone, lfdr_transformation, lfdr_adj, lfdr_eps):
    """
    Infer proteins and conduct error-rate estimation in different contexts.
    """

    if outfile is None:
        outfile = infile
    else:
        outfile = outfile

    infer_proteins(infile, outfile, context, parametric, pfdr, pi0_lambda, pi0_method, pi0_smooth_df, pi0_smooth_log_pi0, lfdr_truncate, lfdr_monotone, lfdr_transformation, lfdr_adj, lfdr_eps)
def protein(infile, outfile, context, parametric, pfdr, pi0_lambda, pi0_method, pi0_smooth_df, pi0_smooth_log_pi0, lfdr_truncate, lfdr_monotone, lfdr_transformation, lfdr_adj, lfdr_eps):
    """
    Infer proteins and conduct error-rate estimation in different contexts.
    """

    if outfile is None:
        outfile = infile
    else:
        outfile = outfile

    infer_proteins(infile, outfile, context, parametric, pfdr, pi0_lambda, pi0_method, pi0_smooth_df, pi0_smooth_log_pi0, lfdr_truncate, lfdr_monotone, lfdr_transformation, lfdr_adj, lfdr_eps)
def protein ( infile , outfile , context , parametric , pfdr , pi0_lambda , pi0_method , pi0_smooth_df , pi0_smooth_log_pi0 , lfdr_truncate , lfdr_monotone , lfdr_transformation , lfdr_adj , lfdr_eps ) : if outfile is None : outfile = infile else : outfile = outfile infer_proteins ( infile , outfile , context , parametric , pfdr , pi0_lambda , pi0_method , pi0_smooth_df , pi0_smooth_log_pi0 , lfdr_truncate , lfdr_monotone , lfdr_transformation , lfdr_adj , lfdr_eps )
Infer proteins and conduct error-rate estimation in different contexts.
Infer proteins and conduct error - rate estimation in different contexts .