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Fig. 1 | BMC Bioinformatics

Fig. 1

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

Fig. 1

RNEA detailed workflow. RNEA, given a differential expression file (yellow node) of a genome-wide expression experiment (gray node) and based on highly confident prior knowledge (light green nodes) and manual curation (red nodes), extracts lists (purple nodes) of regulators and functional categories whose targets and members respectively are overrepresented among deregulated genes. Additionally, RNEA extracts the regulatory (or functional or global) network “activated” in the specific experiment

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