Join us on September 11 to kick off our Fall 2024 CTML Seminar Series. Seraphina Shi's talk "Integrative Deep Multi-Learning for Predicting and Biclustering Cancer Drug Responses (impaCluster): Leveraging Omics and Drug Molecular Data" will take place at 11:00AM at Berkeley Way West, 5th Floor, Room 5401.
Precision medicine in cancer treatment leverages complex relationships between cancer genetics and drug structures, addressed by 'impaCluster'. In this talk, I will introduce impaCluster, which integrates deep multi-task prediction and biclustering to identify sensitive subsets of cancer cell lines and drugs, supported by shared molecular profiles. impaCluster facilitates accurate and stable screening and has been validated across simulations and datasets, underscoring its potential in advancing personalized cancer therapy by pinpointing precise treatment options.