A probabilistic method to detect regulatory modules

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A probabilistic method to detect regulatory modules

MOTIVATION The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. RESULTS We develop a computational method that uses Hidden Markov Models and an Expectation Maximization algorithm to detect such modules, given the weight matrices of a set of transcription factors known to work together. Two novel features ...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2003

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btg1040