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Args: kallisto_dir: Directory containing Kallisto quantification results. Returns: Data frame with columns `source_ids` (a tuple of source short name - and taxon identifier, e.g., `("hsapiens", 9606)`) and `tpm`, - signifying the percentages of total expression per read source. - The data frame is sorted by total expression in descending - order. + and taxon identifier, e.g., `("hsapiens", 9606)`) and + `est_counts`, signifying the percentages of total estimated + counts per read source. The data frame is sorted by total + estimated counts in descending order. Raises: FileProblem: Kallisto quantification results could not be @@ -283,9 +283,9 @@ def get_source_expression( ) # handle case where no alignments are found - dat.tpm.fillna(0, inplace=True) + dat.est_counts.fillna(0, inplace=True) - # aggregate expression by source identifiers + # aggregate counts by source identifiers dat[[ 'gene_symbol', 'gene_id', @@ -294,17 +294,17 @@ def get_source_expression( 'taxon_id' ]] = dat.target_id.str.split('|', n=4, expand=True) dat['source_ids'] = list(zip(dat.short_name, dat.taxon_id)) - total_tpm = dat.tpm.sum() - dat_agg = dat.groupby(['source_ids'])[['tpm']].agg('sum') + total_counts = dat.est_counts.sum() + dat_agg = dat.groupby(['source_ids'])[['est_counts']].agg('sum') dat_agg['source_ids'] = dat_agg.index dat_agg.reset_index(drop=True, inplace=True) # calculate percentages - if total_tpm != 0: - dat_agg.tpm = dat_agg.tpm / total_tpm * 100 + if total_counts != 0: + dat_agg.est_counts = dat_agg.est_counts / total_counts * 100 # return as dictionary - return dat_agg.sort_values(["tpm"], ascending=False) + return dat_agg.sort_values(["est_counts"], ascending=False) @staticmethod def get_source_name(

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