runDGEmods: Perform differential analysis of gene splits

In montilab/K2Taxonomer: Creating annotated submodules of high-throughput data through recursive partitioning

Perform differential analysis of gene splits

Description

Adds limma differential analysis results to the output of K2tax().

Usage

runDGEmods(K2res)

Arguments

K2res

An object of class K2. The output of K2tax().

Value

An object of class K2.

References

\insertRef

reed_2020K2Taxonomer \insertReflimmaK2Taxonomer \insertRefbhK2Taxonomer

Examples

## Read in ExpressionSet object
library(Biobase)
data(sample.ExpressionSet)

## Pre-process and create K2 object
K2res <- K2preproc(sample.ExpressionSet)

## Run K2 Taxonomer algorithm
K2res <- K2tax(K2res,
            stabThresh=0.5)

## Run differential analysis on each partition
K2res <- runDGEmods(K2res)

montilab/K2Taxonomer documentation built on Nov. 8, 2024, 2:36 a.m.