Reference: Segal E, et al. (2003) Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nat Genet 34(2):166-76

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Abstract

Much of a cell's activity is organized as a network of interacting modules: sets of genes coregulated to respond to different conditions. We present a probabilistic method for identifying regulatory modules from gene expression data. Our procedure identifies modules of coregulated genes, their regulators and the conditions under which regulation occurs, generating testable hypotheses in the form 'regulator X regulates module Y under conditions W'. We applied the method to a Saccharomyces cerevisiae expression data set, showing its ability to identify functionally coherent modules and their correct regulators. We present microarray experiments supporting three novel predictions, suggesting regulatory roles for previously uncharacterized proteins.

Reference Type
Journal Article
Authors
Segal E, Shapira M, Regev A, Pe'er D, Botstein D, Koller D, Friedman N
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Interaction Annotations

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Interactor Interactor Type Assay Annotation Action Modification Phenotype Source Reference

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Gene Gene Ontology Term Qualifier Aspect Method Evidence Source Assigned On Annotation Extension Reference

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Regulator Target Experiment Assay Construct Conditions Strain Background Reference