One good source of such data is GEO, NCBI's Gene Expression Omnibus:
http://www.ncbi.nlm.nih.gov/geo/
I think there is a vast amount of work addressing this approach; see
PubMed for papers.
--Pete Szolovits
On Feb 14, 2008, at 2:54 PM, Santosh Srivastava wrote:
> This area has an interesting biology and could be a good research area
> from machine learning perspective. I am also interested to know how to
> analyze gene expression data using graphical model and other machine
> learning techniques. It is good if there is any good review paper out
> there. Plus I am wondering is there any website (similar to UCI
> machine
> learning repository) from where you can download rich varieties of
> gene
> expression data?
>
> -Santosh
> Computational Biology
> Fred Hutchinson Cancer Research Center
>
>
> On Tue, 12 Feb 2008, Rich Neo wrote:
>
>> Dear Colleagues,
>> I would be interested in learning of any recent research concerning
>> the use of Bayesian networks to analyze gene expression data.
>> Thanks much,
>> Rich
>> Richard E. Neapolitan
>> Professor and Chair of Computer Science
>> Northeastern Illinois University
>> 5500 N. St. Louis
>> Chicago, Il 60625
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