Hi Santosh, The main repositories for expression data are:
Gene Expression Omnibus (GEO): http://www.ncbi.nlm.nih.gov/geo/ Array Express: http://www.ebi.ac.uk/microarray-as/aer/?#ae-main[0] These days, most new gene expression data is deposited in one of the these two repositories. There's also a considerable amount of microarray data available at the Stanford Microarray Database: http://genome-www5.stanford.edu/ The data section of Tim Hughes' lab website has a lot of supplementary data available, some of which is in a more convenient format for running machine learning / graphical model algorithms on: http://hugheslab.ccbr.utoronto.ca/Main/HughesData I hope this helps, Quaid. On Thu, Feb 14, 2008 at 2:54 PM, Santosh Srivastava < [EMAIL PROTECTED]> 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 > _______________________________________________ > uai mailing list > [email protected] > https://secure.engr.oregonstate.edu/mailman/listinfo/uai > -- Quaid Morris, PhD Assistant Professor Banting and Best Department of Medical Research Donnelley Centre for Cellular and Biomolecular Research 160 College St, Rm 616 Toronto ON, M5S 3E1 Canada http://morrislab.med.utoronto.ca office: (416) 978 8568 fax: (416) 978 8287 cell: (416) 220 5796
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