[BioC] using linear model of limma
Jianping Jin
jjin at email.unc.edu
Wed Nov 15 21:42:58 CET 2006
Dear list,
This is a follow-up info to my first email (see below). I tried to use
lmFit on my raw data, data at exprs which is a read.affybatch object. I
realized that there was no way for me to retrieve the linear model fitted
resulting values for next data procession as the results are stored in a
compact form as stated in the on-line help document.
It looks like that the easier way to handle the chip batch effect for my
data is to include "batch" as a factor in the fit model and let limma do
the further procession.
So the usual processes are reading .CEL files in, preprocessing data with
RMA/GCRMA, fitting data with linear model and then using eBayes. I have
questions here, please forgive me as a none statistician, if the quantile
normalization in RMA would do any harm than good to the data when a batch
effect exists? What else does lmFit do if RMA has already removed the batch
effect?
Please help me out for this confusion.
thanks!
Jianping
--On Wednesday, November 15, 2006 11:50 AM -0500 Jianping Jin
<jjin at email.unc.edu> wrote:
>
> Dear list:
>
> A batch effect was observed in 16 out of 105 hgU133_plus2 arrays based on
> NUSE plot. I know SAM, like limma, is able to handle this kind of thing
> with setting block. But I am not sure if that is appropriate way for this
> unintentional situation.
>
> I would try to use the lmFit function of limma with batch as a factor to
> remove the batch effect. Then use the resulting data values for other
> software applications, for example SAM. Here come my questions:
> 1. Should I apply the raw data, data at exprs, instead of eset at exprs for
> running lmFit?
> 2. If that is a right way, how can I extract the lmFit normalized data
> for next RMA or GCRMA?
>
> Please point it out if I am confused with something! I will appreciate
> your help!
>
> Jianping
>
> ##################################
> Jianping Jin Ph.D.
> Bioinformatics scientist
> Center for Bioinformatics
> Room 3133 Bioinformatics building
> CB# 7104
> University of Chapel Hill
> Chapel Hill, NC 27599
> Phone: (919)843-6105
> FAX: (919)843-3103
> E-Mail: jjin at email.unc.edu
##################################
Jianping Jin Ph.D.
Bioinformatics scientist
Center for Bioinformatics
Room 3133 Bioinformatics building
CB# 7104
University of Chapel Hill
Chapel Hill, NC 27599
Phone: (919)843-6105
FAX: (919)843-3103
E-Mail: jjin at email.unc.edu
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