USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139 - Variable-order Bayesian network - Document - PDFSEARCH.IO

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	USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139 Add to Reading List Document Date: 2013-07-14 14:56:24 Open Document File Size: 178,12 KB Share Result on Facebook City Cambridge / / Company Affymetrix / / Facility HARTEMINK MIT Laboratory / Technology Square / RICHARD A. YOUNG Whitehead Institute / Biomedical Research Nine Cambridge Center / TOMMI S. JAAKKOLA MIT Artificial Intelligence Laboratory / / Organization TOMMI S. JAAKKOLA MIT Artificial Intelligence Laboratory / RICHARD A. YOUNG Whitehead Institute / Biomedical Research Nine Cambridge Center / USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science / / Position Representative / / ProvinceOrState Massachusetts / / Technology gene expression / 545 Technology / / SocialTag Bayesian statistics Graphical models Estimation theory Latent variable Mutual information Maximum likelihood Variable-order Bayesian network Statistics Statistical models Bayesian networks

USING GRAPHICAL MODELS AND GENOMIC EXPRESSION DATA TO STATISTICALLY VALIDATE MODELS OF GENETIC REGULATORY NETWORKS ALEXANDER J. HARTEMINK MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139Add to Reading List