[BioC] GCRMA Bayes theory question
Richard Friedman
friedman at cancercenter.columbia.edu
Thu Aug 24 18:02:38 CEST 2006
Anne,
People were kind enough to help me with basically the same question,
so that I will hazard a summary and let more knowledgeable people add
or correct
if necessary,
In RMA the of the frequency of the intensity of individual probes are
plotted against
intensity. It is assumed that the noise varies as a Gaussian function
and that the signal
varies as an exponential. The plot is fit to a Gaussian which is
subtracted out, leaving
only the signal. In GCRMA this is done separately for each set of
probes with a given GC content.
Then the distribution of probes on different chips are normalized to
give (almost) the same distribution
using quantile normalization. Finally the intensity of a probeset is
obtained from its component
probes by fitting to a linear model using a robust method called medium
polish.
I hope this makes sense.
There are people out there who can correct me if necessary.
Best wishes,
Rich
On Aug 24, 2006, at 3:19 AM, Anne Pohrt wrote:
> Hi,
>
> I am trying to understand how exactly the gcrma software works, and
> working my way through the Wu/Irizarry paper "A Model Based Background
> Adjustment for Oligonucleotide Expression Arrays" .
> My problem is in understanding the Bayes approach that is behind it. I
> am particularly interested in how the integrated functions look like.
> Could anyone point me towards a source of the functions or a source
> with more detail than the paper I mentioned above?
>
> Any help would be very much appreciated,
> Best regards,
> Anne Pohrt
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at stat.math.ethz.ch
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives:
> http://news.gmane.org/gmane.science.biology.informatics.conductor
>
------------------------------------------------------------
Richard A. Friedman, PhD
Associate Research Scientist
Herbert Irving Comprehensive Cancer Center
Oncoinformatics Core
Lecturer
Department of Biomedical Informatics
Box 95, Room 130BB or P&S 1-420C
Columbia University Medical Center
630 W. 168th St.
New York, NY 10032
(212)305-6901 (5-6901) (voice)
friedman at cancercenter.columbia.edu
http://cancercenter.columbia.edu/~friedman/
"My novel has a hundred characters and it takes place over a year.
When I finish it, if it is shorter than Ulysses, then Joyce described
things
too much".
-Rose Friedman, age 9
More information about the Bioconductor
mailing list