Dear all,
I've tried to analyze this data that is a aCGH data in R. But I couldn't find any tutorial that can help me to import data and everything.
Any idea?
Thank you
Hi Kevin, and thank you for your feed back. Yes I've checked it and found something related with Agilent4x44K Arrays however, this experiment is CGH array (4X180K) so I could not find something related with CGH arrays, any clue about how to start with it?
Thanks!
I'm not sure - I thought that limma had general functionality for Agilent arrays, though (both single and two-colour arrays). I wish that I had more time to check myself; otherwise, you can obtain the normalised data with the following code:
library(Biobase)
library(GEOquery)
# load series and platform data from GEO
gset <- getGEO("GSE36864", GSEMatrix =TRUE, getGPL=FALSE)
if (length(gset) > 1) idx <- grep("GPL8687", attr(gset, "names")) else idx <- 1
gset <- gset[[idx]]
With that, you can do DEA and any other downstream stuff.
Hey Lila. limma should be able to do it. Have you checked that out?
Hi Kevin, and thank you for your feed back. Yes I've checked it and found something related with
Agilent4x44K Arrays
however, this experiment isCGH array (4X180K)
so I could not find something related with CGH arrays, any clue about how to start with it? Thanks!I'm not sure - I thought that limma had general functionality for Agilent arrays, though (both single and two-colour arrays). I wish that I had more time to check myself; otherwise, you can obtain the normalised data with the following code:
With that, you can do DEA and any other downstream stuff.