Dear all, I'm experimenting with machine learning algorithms in microarray domain which require discrete feature space. I'm looking for a paper or any other type of reference dealing with discretization of continuous gene expression data. If somebody is aware on it, please reply to my post. Best regards, Andrej

On Tue, May 13, 2008 at 4:12 PM, Andrej Kastrin <andrej.kastrin at="" gmail.com=""> wrote: > Dear all, > > I'm experimenting with machine learning algorithms in microarray domain > which require discrete feature space. I'm looking for a paper or any other > type of reference dealing with discretization of continuous gene expression > data. If somebody is aware on it, please reply to my post. Check out this paper: 1: Nat Methods. 2007 Nov;4(11):911-3. Epub 2007 Sep 30. A gene expression bar code for microarray data. Zilliox MJ, Irizarry RA. W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, Maryland 21205, USA. The ability to measure genome-wide expression holds great promise for characterizing cells and distinguishing diseased from normal tissues. Thus far, microarray technology has been useful only for measuring relative expression between two or more samples, which has handicapped its ability to classify tissue types. Here we present a method that can successfully predict tissue type based on data from a single hybridization. A preliminary web-tool is available online (http://rafalab.jhsph.edu/barcode/). PMID: 17906632 There are, I'm sure, many ways to approach the problem, though, depending on your needs. Sean

Hi Andrej, On May 13, 2008, at 4:12 PM, Andrej Kastrin wrote: > Dear all, > > I'm experimenting with machine learning algorithms in microarray > domain which require discrete feature space. I'm looking for a paper > or any other type of reference dealing with discretization of > continuous gene expression data. If somebody is aware on it, please > reply to my post. Here's one that one of my colleagues likes to use: Quantitative noise analysis for gene expression microarray experiments http://www.pnas.org/cgi/content/full/99/22/14031 Hope that helps, -steve