[BioC] Looking for strongly correlated gene expression data

[Michal Okoniewski]

Hi Kim, 

I don't know if it is related to your research, but: 

In the paper http://www.biomedcentral.com/1471-2105/7/276
we described some features of unusually high correlation due to some
specific qualities of Affymetrix arrays (multiple targeting). 
The paper includes in the Additional Data a table of probesets that are
likely to be highly correlated and some hints on datasets use (two of
them are from Array Express) 

groetjes, :) 
 
Michal  

-----Original Message-----
From: bioconductor-bounces at stat.math.ethz.ch
[mailto:bioconductor-bounces at stat.math.ethz.ch] On Behalf Of Kim, K.I.
Sent: 12 March 2007 12:34
To: Bioconductor at stat.math.ethz.ch
Subject: [BioC] Looking for strongly correlated gene expression data


Hi BioConductor Users,

I am looking for gene expression data sets with very strong correlation
features. (positive or negative) So, I hope I can't expect independent
uniform distributions for true null p-values of those data sets.  

If anyone knows such data sets, please let me know.

Thank you.

Kyung In Kim.

PhD student,
Department of mathematics and computer science, Technical University of
Eindhoven.

_______________________________________________
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
 
--------------------------------------------------------

 
This email is confidential and intended solely for the use o...{{dropped}}