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SIRENE: supervised inference of regulatory networks
2008
Bioinformatics
Living cells are the product of gene expression programs that involve the regulated transcription of thousands of genes. The elucidation of transcriptional regulatory networks in thus needed to understand the cell's working mechanism, and can for example be useful for the discovery of novel therapeutic targets. Although several methods have been proposed to infer gene regulatory networks from gene expression data, a recent comparison on a large-scale benchmark experiment revealed that most
doi:10.1093/bioinformatics/btn273
pmid:18689844
fatcat:q67lsf2nx5hcli6tgbxzrcctjq