Gwenn Guichaoua

This study identifies proliferation and stress-adaptation mechanisms in MTUS1-low TNBC and proposes therapeutic strategies based on CRISPR-derived dependency signals.

The paper introduces IFPP, a molecular representation for identifying isofunctional molecules, and proposes Metric Learning to improve scalability for large libraries.

The paper introduces Komet, a scalable DTI prediction method, and LCIdb, a large DTI dataset, showing improved scalability and performance over existing methods.