Entering edit mode
2.5 years ago
Minushi
•
0
This is my cording part. Can anyone help me implement the Wilcoxon Mann Whitney Test for gene data? Please help me. I really need Your help.
celFiles <- list.celfiles()
affyRaw <- read.celfiles(celFiles)
eset <- oligo ::rma(affyRaw)
write.exprs(eset,file = "data1.txt")
mydata <- read.delim("GPL570.txt",check.names = FALSE)
abc <- data.frame(mydata)
feature.data<- abc[, c(1,3)]
dataInf <- read.delim("data1.txt",check.names = FALSE)
combined <- left_join(dataInf,feature.data, by= "ID")
write.csv(combined,"anotated.csv")
pData(eset)
Group <- c("AD","AD","AD","AD","AD","AD","Normal","AD","AD","AD","AD","AD","Normal","Normal","Normal","Normal","Normal","Normal","Normal","Normal","Normal","AD","AD","AD","Normal","Normal","Normal","Normal","AD","AD","AD","AD","AD","Normal","AD","AD","AD","AD","AD","Normal","AD","AD","AD","Normal","Normal","AD")
design <- model.matrix(~factor(Group)+ 0, combined)
colnames(design) <- c("AD", "Normal")
fit <- lmFit(eset, design)
Actually, you are close. After the
lmFit
function you need theeBayes
, and then extract the results viatopTable
. See the limma manual at Bioconductor, it guides you. The stats magic is being taken care of by the function. Be sure though to do some QC on the data. In the previous post it was said that the authors did some batch correction on the data. If that is all new to you be sure to read yourself into microarray and/or RNA-seq analysis or results are unreliable and a mess. Can't you get the differential genes from the associated paper?Thank you sir. I will follow your guidelines. I am new to genes data analysis.Because that reason,I am not a expert doing coding and I always confused some point.Is there any site or link that I can follow?.
https://www.bioconductor.org/packages/devel/bioc/vignettes/limma/inst/doc/usersguide.pdf
Thank you so much.
Sir, I am failed to build up any code for wilcoxon mann whitey test.Could you please help me find the code.
Did you read and understand the answer?
Yes.I am new to the gene analysis.because tha reason I always confused.