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

Abstract

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

Topics

6 Figures and Tables

Statistics

05010020162017
Citations per Year

Citation Velocity: 29

Averaging 29 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.