Haohui Wang, Baoyu Jing, et al.
KDD 2024
Machine learning (ML) models of drug sensitivity prediction are becoming increasingly popular in precision oncology. Here, we identify a fundamental limitation in standard measures of drug sensitivity that hinders the development of personalized prediction models – they focus on absolute effects but do not capture relative differences between cancer subtypes. Our work suggests that using z-scored drug response measures mitigates these limitations and leads to meaningful predictions, opening the door for sophisticated ML precision oncology models.
Haohui Wang, Baoyu Jing, et al.
KDD 2024
Wojciech Ozga, Do Le Quoc , et al.
IFIP DBSec 2021
Béni Egressy, Luc von Niederhäusern, et al.
AAAI 2024
S. Ilker Birbil, Donato Maragno, et al.
AAAI 2023