Jean-Philippe Villemin

The paper introduces an expanded framework for ligand-receptor network inference that integrates multiple scoring strategies and analyzes single-cell transcriptomics and proteomics data.

The paper identifies two TRM subpopulations in NSCLC patients and shows that only DP TRM predicts response to PD-1 blockade immunotherapy.

This paper introduces a Bayesian modeling approach to capture population protein dynamics using cohort data, showing its ability to handle inter-individual variability.

BulkSignalR infers ligand-receptor networks from bulk and spatial transcriptomic data, showing higher quality inferences compared to existing tools.