Thomas Lepoutre

The paper introduces a three-state gene expression model to analyze single-cell multi-omics data, revealing distinct gene expression strategies through parameter inference.

The paper models relaxation experiments using a mechanistic gene expression model with a proliferation term, showing good agreement with experimental data on CD34 antigen distribution.

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.