A Bayesian Framework for the Classification of Microbial Gene Activity States

A Bayesian Framework for the Classification of Microbial Gene Activity States

Numerous methods for classifying gene activity states based on gene expression data have been proposed for use in downstream applications, such as incorporating transcriptomics data into metabolic models in order to improve resulting flux predictions. These methods often attempt to classify gene act...

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Bibliographic Details
Main Authors: Disselkoen, Craig, Greco, Brian, Cook, Kaitlyn, Koch, Kristin, Lerebours, Reginald, Viss, Chase, Cape, Joshua, Held, Elizabeth, Ashenafi, Yonatan, Fischer, Karen, Acosta, Allyson, Cunningham, Mark, Best, Aaron A., DeJongh, Matthew, Tintle, Nathan
Format: Online
Language:English
Published: Frontiers Media S.A. 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977825/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977825/

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