Enabling Drug Response Annotations Using SCAD
Organizer
Stephen S-T. Yau
Speaker
Time
Monday, October 28, 2024 9:00 AM - 9:30 AM
Venue
Online
Abstract
In this seminar, I will report a paper, which introduced a transfer learning model, SCAD, to predict drug sensitivities. By leveraging transcriptome profiles and drug information, the model can infer drug responses at the cellular level, revealing insights into tumor heterogeneity and potential drug combinations.
Speaker Intro
孙楠目前是北京雁栖湖应用数学研究院的博士后。她的研究方向包括生物信息学、机器学习和应用数学，在The Innovation, Computational and Structural Biotechnology Journal, BMC Bioinformatics, Frontiers in Cellular and Infection Microbiology, Journal of Computational Biology, Genes等期刊发表多篇论文，参与多项国家自然科学基金及北京市自然科学基金项目，主持中国博士后科学基金第78批面上资助。