Empirical Bayes conditional independence graphs for regulatory network recovery

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چکیده

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Empirical Bayes conditional independence graphs for regulatory network recovery

MOTIVATION Computational inference methods that make use of graphical models to extract regulatory networks from gene expression data can have difficulty reconstructing dense regions of a network, a consequence of both computational complexity and unreliable parameter estimation when sample size is small. As a result, identification of hub genes is of special difficulty for these methods. MET...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2012

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/bts312