Léon-Charles Tranchevent

This paper develops a deep neural network approach for predicting neuroblastoma patient outcomes using graph-based feature extraction, achieving higher accuracy than traditional models.

The paper shows that exons regulated by the same splicing factor share similar nucleotide composition and code for amino acids with similar physicochemical properties.