pilotpy.tl.results_gene_cluster_differentiation

pilotpy.tl.results_gene_cluster_differentiation(cluster_name=None, sort_columns=['pvalue'], ascending=[True], threshold=0.5, p_value=0.01)

Retrieve and sort gene cluster statistics based on specified criteria.

Parameters:

cluster_namestr, optional

The name of the gene cluster to retrieve statistics for. Default is None.

sort_columnslist of str, optional

List of column names to sort the data by. Default is [‘pvalue’].

ascendinglist of bool, optional

List indicating sorting order for each corresponding column. Default is [True].

threshold: float, optional

Select genes with fold changes higher than the defined threshold. Default is 0.5.

p_value: float, optional

Select genes with the Wald test p-value less than the defined one. Default is 0.01.

Returns:

pandas.DataFrame

A sorted dataframe containing gene cluster statistics based on the specified criteria.