HeatMapEnrichment

object from complete functional enrichment analysis

Eres

title


This function plot a heatmap to summarize the results from complete functional enrichment analysis


file

device

files

Heatmap

that

check

write

graphic

This

following

"MCT"

"iNT"

"sNT"

"AllT

MCCTT

sNT"))

"MTT"

"MT"

"sN"

"iN"

"iNT"))

CC1=CoFRA::completeFunctionalRegulationAnalysis(iBAQ

Func[100:200

dfComp)

CoFRA::HeatMapEnrichment(CC1

"CC")

Fac=factor(c("MCCTT"

"MCCTT"

"MCCT"

"MC"

Func=CoFRA::getFunctionalCategories("CC")

Rstudio

because

below

commands

data(iBAQ)

dev.off()

dfComp=data.frame(Con=c("MCCT"

"AllC

MCCT

sN")

Tre=c("MCCTT"

don't

fails

getwd()

inside

library(CoFRA)

note

overwrite

pdf("CCxxxTest.pdf")

setup

str(Func)

studio

using

Calculates complete functional regulation analysis and visualize the results in a single heatmap. The provided example data is for biological data but the methodology can be used for large data sets to compare quantitative entities that can be grouped. For example, a store might divide entities into cloth, food, car products etc and want to see how sales changes in the groups after some event. The theoretical background for the calculations are provided in New insights into functional regulation in MS-based drug profiling, Ana Sofia Carvalho, Henrik Molina & Rune Matthiesen, Scientific Reports, <doi:10.1038/srep18826>.

Rune Matthiesen

CoFRA

Complete Functional Regulation Analysis

HeatMapEnrichment function

This function plot a heatmap to summarize the results from complete functional enrichment analysis

HeatMapEnrichment: This function plot a heatmap to summarize the results from complete functional enrichment analysis

Description

Usage

Arguments