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A model for gene deregulation detection using expression data.


ABSTRACT: In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data.

SUBMITTER: Picchetti T 

PROVIDER: S-EPMC4674863 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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A model for gene deregulation detection using expression data.

Picchetti Thomas T   Chiquet Julien J   Elati Mohamed M   Neuvial Pierre P   Nicolle Rémy R   Birmelé Etienne E  

BMC systems biology 20151209


In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data. ...[more]

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