Reading and Research in Computational Biology
Instructors: Su-In Lee, Sara Mostafavi, Georg Seelig, Sheng Wang, and Bill Noble
Time: Tuesdays, 1-2pm (first meeting is on 3/28)
Location: Bill & Melinda Gates Center (CSE2) 387
Credit: 1-3 Variable
Grading: Credit/No Credit. Talk to the instructors if you are unsure of our expectations.
Email list: Course-related announcements: firstname.lastname@example.org
CSE 590C is a weekly seminar on Readings and Research in Computational Biology, open to all graduate students in computational, biological, and mathematical sciences.
Spring 2023, research presenetations
Winter 2023, theme drivers - Ethan Weinberger (Lee Lab), Xinming Tu (Mostafavi Lab)
Single-cell data science, with discussions on state-of-the-art machine learning/statistical techniques for analyzing single-cell datasets, including recent advancements in multi-modal and spatial dataset analysis.
Fall 2022, theme driver - Prof. Sara Mostafavi
Sequence-to-function models and approaches (Seq2Func) for learning regulatory syntax and networks across cells and tissue types. Models applicable to single-modality and multi-modality learning from single-cell data also fall within this theme.