Recent advancements in deep learning (DL) have played a crucial role in aiding experts to develop personalized healthcare services, particularly in drug response prediction (DRP) for …
Chemotherapeutic response of cancer cells to a given compound is one of the most fundamental information one requires to design anti-cancer drugs. Recently, considerable …
Pairwise learning corresponds to the supervised learning setting where the goal is to make predictions for pairs of objects. Prominent applications include predicting drug-target or …
While we have the technologies and computational tools to analyze entire genomes, transcriptomes and proteomes, the computational description of phenotypes resulting from …
Ce manuscrit d'HDR comprend la majorité de mes travaux de recherche, et est organisé en quatre chapitres, chaque chapitre étant consacré à une thématique. Dans cette introduction …
Breast cancer is the second most common cancer worldwide and the leading cause of women's death from cancer. Improving cancer prognosis has been one of the problems of …