Inferring gene regulatory networks from single-cell data: a mechanistic approach
Inferring gene regulatory networks from single-cell data: a mechanistic approach
The recent development of single-cell transcriptomics has enabled gene expression to be measured in individual cells instead of being population-averaged. Despite this considerable precision improvement, inferring regulatory networks remains challenging because stochasticity now proves to play a fundamental role in gene expression. In particular, mRNA synthesis is now acknowledged to …