PlotPathways: A GO plot of a pathway analysis output.

In IntClust: Integration of Multiple Data Sets with Clustering Techniques

Description

The PlotPathways function takes an output of the PathwayAnalysis function and plots a GO graph with the help of the plotGOgraph function of the MLP package.

Usage

PlotPathways(Pathways, nRow = 5, main = NULL, plottype = "new",
  location = NULL)

Arguments

Pathways	One element of the output list returned by PathwayAnalysis or Geneset.intersect.
nRow	Number of GO IDs for which to produce the plot. Default is 5.
main	Title of the plot. Default is NULL.
plottype	Should be one of "pdf","new" or "sweave". If "pdf", a location should be provided in "location" and the figure is saved there. If "new" a new graphic device is opened and if "sweave", the figure is made compatible to appear in a sweave or knitr document. Default is "new".
location	If plottype is "pdf", a location should be provided in "location" and the figure is saved there. Default is NULL.

Value

The output is a GO graph.

Examples

## Not run: 
data(fingerprintMat)
data(targetMat)
data(geneMat)
data(GeneInfo)

MCF7_F = Cluster(fingerprintMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="flexible",gap=FALSE,maxK=55,StopRange=FALSE)
MCF7_T = Cluster(targetMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="flexible",gap=FALSE,maxK=55,StopRange=FALSE)

L=list(MCF7_F,MCF7_T)
names=c('FP','TP')

MCF7_PathsFandT=PathwayAnalysis(List=L, geneExpr = geneMat, nrclusters = 7, method = c("limma", 
"MLP"), geneInfo = GeneInfo, geneSetSource = "GOBP", topP = NULL, 
topG = NULL, GENESET = NULL, sign = 0.05,niter=2,fusionsLog = TRUE, weightclust = TRUE, 
 names =names,seperatetables=FALSE,separatepvals=FALSE)
 
PlotPathways(MCF7_PathsFandT$FP$"Cluster 1"$Pathways,nRow=5,main=NULL)

## End(Not run)

IntClust documentation built on May 2, 2019, 5:51 a.m.