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Annotating gene function by combining expression data with a modular gene network
2007
Computer applications in the biosciences : CABIOS
Motivation: A promising and reliable approach to annotate gene function is clustering genes not only by using gene expression data but also literature information, especially gene networks. Results: We present a systematic method for gene clustering by combining these totally different two types of data, particularly focusing on network modularity, a global feature of gene networks. Our method is based on learning a probabilistic model, which we call a hidden modular random field in which the
doi:10.1093/bioinformatics/btm173
pmid:17646332
fatcat:appqt2o5srdylpa2yny7igplnm