Valérie Marot-Lassauzaie

CCLONE identifies cancer cells in scRNA-seq data by jointly analyzing SNVs and cell populations, showing its effectiveness in leukemia and lung cancer datasets.

The paper addresses issues in RNA velocity estimation from single-cell RNA-seq data and introduces two new methods for reliable velocity inference and visualization.

The paper compares predicted protein localization spectra across ten eukaryotic species to infer evolutionary relationships.