Franck Augé

This study develops a computational framework to model M1 and M2 macrophages in RA, identifying potential therapeutic targets through Boolean modeling and gene expression validation.

This paper benchmarks six computational methods for reconstructing B-cell receptors from scRNA-seq data, finding BALDR, BASIC, and BRACER perform best overall.

The paper identifies genome-wide significant epistasis interactions across 502 phenotypes using UK Biobank data and replicates some in Finngen consortium cohorts, revealing common variants' roles in complex diseases.

The paper introduces ASigNTF, a method to estimate cell-type abundance from transcriptomic data using non-negative tensor factorization and the Herfindahl-Hirschman index, and provides two new immune cell-type signatures that outperform existing methods.