Inferring active regulatory networks from gene expression data using a combination of prior knowledge and enrichment analysis


Under both physiological and pathological conditions gene expression programs are shaped through the interplay of regulatory proteins and their gene targets, interactions between which form intricate gene regulatory networks (GRN). While the assessment of genome-wide expression for the complete set of genes at a given condition has become rather straight… (More)
DOI: 10.1186/s12859-016-1040-7


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Citations per Year

Citation Velocity: 29

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