sc_toolbox.tools.ranksums_between_groups# sc_toolbox.tools.ranksums_between_groups(table, id1='bystander', id2='infected', xlabel='condition', cells=None, score='Axin2')[source]# Perform Wilcoxon Rank-sum test between two groups. Parameters: table – id1 (str) – id2 (str) – xlabel (str) – x-axis label cells – score (str) – Returns: Pandas DataFrame containing test statistic and p-value