New method developed to infer gene regulatory networks from single-cell transcriptomic data
Published Date: 4/27/2023
Source: phys.org
Single-cell RNA-sequencing (scRNA-seq) technologies offer the opportunity to understand regulatory mechanisms at single-cell resolution. Gene regulatory networks (GRNs) provide a crucial blueprint of regulatory mechanisms in cellular systems and thus play a central role in biological research. It is therefore imperative to develop an accurate tool for inferring GRNs from scRNA-seq data.