title: A Bayesian approach to expression network component analysis.
abstract: A semiblind deconvolution method of analysis for gene expression data was proposed recently in a series of articles appeared in PNAS. We illustrate here how similar goals can be achieved in a Bayesian framework and how necessary information on the presence of binding sites can be obtained with Vocabulon, an algorithm based on a stochastic dictionary model.
authors.affiliation: Dept. of Stat. & Human Genetics, California Univ., Los Angeles, CA, USA.
authors.forename: Chiara
authors.initials: C
authors.lastname: Sabatti
authors.forename: Lars
authors.initials: L
authors.lastname: Rohlin