Applications and Case Studies - 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)

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)