univariate_features: Univariate group difference tests for feature selection

In vittoriofortino84/COPS: Clustering algorithms for Omics-driven Patient Stratification

Univariate group difference tests for feature selection

Description

Computes various statistics for molecular differences between groups.

Usage

univariate_features(dat, group, remove_zero_var = TRUE, parallel = 1)

Arguments

dat	molecular data, samples on columns, rows must be named
group	categorical variable matching dat columns
remove_zero_var	whether to remove zero variance genes
parallel	number of threads

Value

list of test results

vittoriofortino84/COPS documentation built on Jan. 28, 2025, 3:16 p.m.