Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data

Motivation: Discriminant analysis is an effective tool for the classification of experimental units into groups. Here, we consider the typical problem of classifying subjects according to phenotypes via gene expression data and propose a method that incorporates variable selection into the inferenti...

Full description