Reading and Research in Computational Biology 

General Information

• Instructors: Su-In Lee, Sara Mostafavi, Sheng Wang, Georg Seelig, and Bill Noble

• Time: Tuesdays, 1-2pm (first meeting is on 10/3)

• Location: Paul Allen Center (CSE1) 305

• Credit:  1-3 Variable

• Grading:  Credit/No Credit. Talk to the instructors if you are unsure of our expectations. 

• Email list: Course-related announcements: cse590c_au23@uw.edu 

Overview

CSE 590C is a weekly seminar on Readings and Research in Computational Biology, open to all graduate students in computational, biological, and mathematical sciences.

Themes:

• The August issue of Nature Methods "Focus on Advanced AI in Biology" 

• Winter 2024, "Generative Models in Biomedicine"

• Fall 2023, theme driver - Su-In Lee "Foundation Models in Biomedicine"

• 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.