Reading and Research in Computational Biology 

General Information


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


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.

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.