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. 2022 Feb 21;38(9):2519–2528. doi: 10.1093/bioinformatics/btac117

Fig. 1.

Fig. 1.

Learning GRNs with the Inferelator (A) The response to the sugar galactose in S.cerevisiae is mediated by the Gal4 and Gal80 TFs, a prototypical mechanism for altering cellular gene expression in response to stimuli. (B) Gal4 and Gal80 regulation represented as an unsigned directed graph connecting regulatory TFs to target genes. (C) Genome-wide GRNs are inferred from gene expression data and prior knowledge about network connections using the Inferelator, and the resulting networks are scored by comparison with a gold standard of known interactions. A subset of genes are held out of the prior knowledge and used for evaluating performance