pyproteonet.metrics.abundance_comparison.compare_columns_molecule_groups

pyproteonet.metrics.abundance_comparison.compare_columns_molecule_groups(dataset: Dataset, molecule: str, columns: List[str], comparison_column: str, id_groups: Dict[str, Index] | None = None, *args, **kwargs) → DataFrame

Similar to compare_columns() but comparison is done in individual groups of molecule specified by their ids.

Parameters:

  • dataset (Union[Dataset, List[Dataset]]) – Either a single dataset or a list of datasets to evaluate. If multiple datasets are given they should alll share the same molecule and the results are concatenated.

  • molecule (str) – The molecule type to evaluate (e.g. ‘protein’, ‘peptide’, …).

  • columns (List[str]) – The columns to compare against the reference column.

  • comparison_column (str) – The reference column to compare against.

  • id_groups (Optional[Dict[str, pd.Index]], optional) – Dictionary of group names and the corresponding molecule ids for each groups. Defaults to None.

  • **kwargs – Additional arguments passed to compare_columns().

Returns:

A dataframe with the evaluation results.

Return type:

pd.DataFrame