[BioC] Removing bad probesets
HWei at ms.soph.uab.edu
Mon Mar 21 18:32:45 CET 2005
Thank you very much for help.
Your suggestion for using 'subset' to remove bad probesets works very well
For anyone who knows how to run dChip or mas5 using a subset of good
probesets on the chips, please do not be hesitated to help. I am processing
MGU74A on which there are 2613 antisense probes.
From: Ben Bolstad [mailto:bolstad at stat.berkeley.edu]
Sent: Monday, March 14, 2005 5:00 PM
To: Hairong Wei
Cc: 'bioconductor at stat.math.ethz.ch'
Subject: Re: [BioC] Removing bad probesets
At least as far as rma() goes, you can use the "subset" argument to specify
a list of probesets to restrict to for all calculations (ie the other
probesets and their probe intensities are entirely ignored).
On Mon, 2005-03-14 at 15:52 -0600, Hairong Wei wrote:
> I have to analyse some data from MG_U74 chips that contain 2613 bad
> probesets (antisense DNA strand) resulted from a mistake of Affymetrix.
> I need to remove these bad probeset from CEL file before I regenerate
> data (from CEL files ) because some algorithms e.g. RMA, may use these bad
> probesets to do normalization. I called Affymetrix but was told that
> their mask files can remove bad probesets only after data is regerated
> CEL files.
> For anybody who has experience in such a thing or has knowledge on how to
> resolve this issue, please give some suggestions.
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