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Fig. 1 | Genome Medicine

Fig. 1

From: scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

Fig. 1

The computational pipeline, scGRNom, for predicting the gene regulatory network via multi-omics data. The pipeline inputs the chromatin interactions (e.g., from Hi-C) of regulatory elements (e.g., enhancer-promoter), identifies the transcription factor binding sites (TFBSs) on interacting regulatory elements, predicts TF-target gene expression relationships (e.g., high coefficients from Elastic net regression), and finally outputs a gene regulatory network linking TFs (cyan), regulatory elements (purple) to target genes (green)

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Genome Medicine

ISSN: 1756-994X

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