[BioC] Improvements on GCRMA function
Zhijin Wu
zwu at stat.brown.edu
Mon Feb 1 16:30:58 CET 2010
It has been updated.
Jean
Javier Pérez Florido wrote:
> Dear list,
> Some months ago, I read the following paper:
> http://bioinformatics.oxfordjournals.org/cgi/content/abstract/23/13/i282
>
> It is said:"we identify a crucial step in GCRMA responsible for
> introducing severe artifacts in the data leading to a systematic
> overestimate of pairwise correlation. This has key implications not only
> for reverse engineering but also for other methods, such as hierarchical
> clustering, relying on accurate measurements of pairwise expression
> profile correlation. We propose an alternative implementation to
> eliminate such side effect".
>
> I've checked the papers that reference this work, but no one is about
> the improvement of GCRMA. Does anyone know if, after this paper was
> published, GCRMA was fixed?
>
> Thanks,
> Javier
>
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--
------------------------------------
Zhijin (Jean) Wu
Assistant Professor of Biostatistics
Brown University, Box G-S121
Providence, RI 02912
Tel: 401 863 1230
Fax: 401 863 9182
http://www.stat.brown.edu/zwu
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