Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks

A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP-Chip Data

Gelfond, Jonathan A. L., (2009)

Applications and Case Studies - Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks

Gupta, Mayetri, (2007)

Generalized Hierarchical Markov Models for the Discovery of Length-Constrained Sequence Features from Genome Tiling Arrays

Gupta, Mayetri, (2007)