Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction

• DOI: 10.1145/3624062.3624080
• Publication Date: 2023-11-10T18:53:39Z
• Authors: Oleksandr Narykov; Yitan Zhu; Thomas Brettin; Yvonne Evrard; Alexander Partin; Maulik Shukla; Priyanka Vasantha...; James Doroshow; Rick Stevens
• Keywords: Regularization; Drug response; Cancer drugs

This work studies a particular setting for regression problems – tasks with complex combinatorial data space where samples can be divided into distinct groups. Anti-cancer drug response prediction is perfect example of this setting, in which each sample includes cancer biological features and chemical information. Many existing works pan-drug pan-cancer modeling treat different combinations drugs cancers as individual samples. A potential problem these that model may heavily influenced biased toward overrepresented cancers. Our develops method to solve issue by adjusting the training process deep learning framework.