[BioC] Improvements on GCRMA function

Javier Pérez Florido jpflorido at gmail.com
Mon Feb 1 16:24:33 CET 2010

Dear list,
Some months ago, I read the following paper:

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?


More information about the Bioconductor mailing list