Thibault Espinasse

This paper combines two methods to use a single gene regulatory network model for both inference and simulation of transcriptional profiles from time-course single-cell data.

The paper uses single-cell data to show that hematopoietic differentiation involves a transient peak of gene expression variability, suggesting a stochastic process with a stage of cellular indetermination.

The paper reduces a stochastic gene expression model to a discrete coarse-grained model, using Lagrangian dynamics to identify basins of attraction as cell types and calculate metastability.