Etienne Farcot

The paper uses a mathematical model of the plant SUMO cycle to reveal dynamic and tissue-specific SUMOylation responses to abiotic stress.

The paper presents a general ODE-based framework to model subnetworks of the nuclear auxin pathway and demonstrates its application to Arabidopsis thaliana root data.

This study evaluates the reliability of structural covariance network analyses using MRI data, showing that small sample sizes and high-dimensional parcellations lead to unreliable graph-theoretic measures and inflated false discovery rates.

The paper develops a mathematical model to predict integrin-mediated cell adhesion strength on light-responsive biomaterials and simulates retraction curves under varying experimental conditions.