Entering edit mode
Elizabeth Ashley
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50
@elizabeth-ashley-4202
Last seen 10.2 years ago
Hi
I have used heatmap.2 to create a heatmap of my data. It automatically
clusters the data and I can't identify which part of the text does
this. However I am quite happy to have the clustering (of GO
categories) but would like to be able to query the groupings to find
insights into how it is clustered. Are these clusters named, and if so
can you find out which ones bring back significant data? Below is the
script I am using.
GO<-read.delim("file.txt",header=TRUE)
GO
GO[,-c(1)]
row.names(GO)<-GO$NAMES
source("http://www.bioconductor.org/biocLite.R")
biocLite("ALL")
library("Ringo")
GO_matrix<-data.matrix(GO[,-c(1)])
source("http://www.bioconductor.org/biocLite.R")
biocLite("limma")
library(limma)
library(gplots)
heatmap.2(GO_matrix,col=redgreen(256),
margins=c(5,10),xlab="DATASET",ylab="GO TERM",
key=TRUE,keysize=1,symkey=FALSE,density.info="none",
trace="none",cexCol=0.5,cexRow=0.1)
Thanks for any help you can provide with this matter
Lizzy