CSE527: Computational Biology

Catalog Description: Introduces computational methods based on artificial intelligence (AI) and machine learning (ML) techniques for understanding biological systems and improving health care. AI/ML techniques such as explainable and interpretable ML, deep neural network learning, probabilistic graphical models, causal inference, and deep learning techniques are covered. Problem areas such as genetics, epigenomics, expression data analysis, proteomics, and electric health record data analysis are covered.

Prerequisites: graduate standing in biological, computer, mathematical or statistical science, or permission of instructor.
Credits: 4.0

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