p_values = [0.001,-0.5,0.002]
get_metaP(p_values)0.0003626876953231754Analyze
Functions for downstream analysis
Setup
from katlas.analyze import *P values
get_pvalue
get_pvalue (df, columns1, columns2, test_method='mann_whitney', FC_method='median')
Performs statistical tests and calculates difference between the median or mean of two groups of columns.
| Type | Default | Details | |
|---|---|---|---|
| df | |||
| columns1 | list of column names for group1 | ||
| columns2 | list of column names for group2 | ||
| test_method | str | mann_whitney | ‘student_t’, ‘mann_whitney’, ‘wilcoxon’ |
| FC_method | str | median | or mean |
get_metaP
get_metaP (p_values)
Use Fisher’s method to calculate a combined p value given a list of p values; this function also allows negative p values (negative correlation)