modeClassification: Interaction mode classification with matrix of outcome...

In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli

Description

Interaction mode classification with matrix of outcome vectors and log fold changes

Usage

modeClassification(res, pipeline)

Arguments

res	matrix where columns 1:6 are the elements of the outcome vectors and columns 7:length(res) are the log fold changes for interaction class classification
pipeline	character vector of length n = 1 indicating pipeline to use for interaction mode classification ("edgeR" or "limma")

Value

character vector of length m = nrow(res) indicating interaction modees

Examples

## Not run: 
library(limma)
ov <- codeLimmaOutcomeVectors(eb, design)
limma_modes <- modeClassification(ov, pipeline = "limma")

## End(Not run)

taylo5jm/interactions documentation built on May 31, 2019, 3:57 a.m.