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EXMD 521 Computational Methods Single-Cell Analytics (3 credits)

Offered by: Medicine (Faculty of Medicine and Health Sciences)

Overview

Experimental Medicine : Computational methods (particularly machine learning methods) for various single-cell data analysis, modelling, and visualization tasks that could drive novel biomedical discoveries, focusing on 鈥渞eal-world鈥� biomedical applications.

Terms: Fall 2024

Instructors: Ding, Jun (Fall)

  • Prerequisites: MATH 203, MATH 223, MATH 323, one course in computer programming and additional background in Calculus and Probability is required (e.g., MATH 222, MATH 204), or permission of the instructor.

  • Restrictions: Not open to students who have taken or are taking BMDE 521.

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