Céline Chevalier

NetSyn groups protein sequences by conserved genomic context to identify functional relationships beyond sequence similarity.

This paper develops a method to train deep-learning models for multi-species canopy segmentation using FCNNs and pseudo-labeling, achieving high accuracy with reduced human effort.

This study shows that mouse embryonic stem cell-derived gastruloids can differentiate into both cardiac and skeletal muscle lineages, revealing insights into cardiopharyngeal mesoderm specification.