this area of biology is at least 10-12 years old. There are tons and tons of literature on this... You can get gene expression data from pubmed. The latest trends include using SNP data, miRNA, etc. along with cross species and gene regulatory network analysis.
On Thu, 14 Feb 2008, 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 > _______________________________________________ > uai mailing list > [email protected] > https://secure.engr.oregonstate.edu/mailman/listinfo/uai > -- Thank You. Sincerely, Monika Ray *********************************************************************** The sweetest songs are those that tell of our saddest thought... Computational Intelligence Centre, Washington University St. louis, MO ********************************************************************** _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
