Fig. 6
From: An integrative approach for building personalized gene regulatory networks for precision medicine
Reconstruction of personalized, context-specific gene regulatory networks through the integration of bulk and single-cell data. We expect the richness of bulk expression data (for example, the number of genes or transcript variants detected and the number of datasets available for any given tissue) combined with the context-specificity of scRNA-seq data (for example, cell type and environmental exposure) will facilitate the generation of context-specific co-expression networks. Finally, integrating additional data layers, such as context-specific eQTLs and co-expression QTLs combined with ChIP-seq data, will allow the direction of effects to be determined. This information will enable the reconstruction of personalized, context-specific gene regulatory networks for use in precision medicine