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Minreg: inferring an active regulator set.

Dana Pe'er·Aviv Regev·Amos Tanay
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Abstract

Regulatory relations between genes are an important component of molecular pathways. Here, we devise a novel global method that uses a set of gene expression profiles to find a small set of relevant active regulators, identify the genes that they regulate, and automatically annotate them. We show that our algorithm is capable of handling a large number of genes in a short time and is robust to a wide range of parameters. We apply our method to a combined dataset of S. cerevisiae expression profiles, and validate the resulting model of regulation by cross-validation and extensive biological analysis of the selected regulators and their derived annotations.

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AlgorithmsComputer SimulationGene Expression ProfilingGene Expression RegulationModels, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSignal TransductionTranscriptional ActivationComparative StudyEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tValidation Study

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Dana Pe'er, Aviv Regev, Amos Tanay. 2002. Minreg: inferring an active regulator set.. https://doi.org/10.1093/bioinformatics%2F18.suppl_1.s258

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