Article
Bayesian biomarker identification based on marker-expression proteomics data.
Genomics - 1 Dec 2008
Bhattacharjee M, Botting C H, Sillanpää M J
Abstract excerpt
We are studying variable selection in multiple regression models in which molecular markers and/or gene-expression measurements as well as intensity measurements from protein spectra serve as predictors for the outcome variable (i.e., trait or disease state). Finding genetic biomarkers and searching genetic-epidemiological factors can be formulated as a statistical problem of variable selection, in which, from a...
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