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EXMD 521 — Computational Methods Single-Cell Analytics

Computational methods (particularly machine learning methods) for various single-cell data analysis, modelling, and visualization tasks that could drive novel biomedical discoveries, focusing on “real-world” biomedical applications.

  • Credits: 3
  • Faculty: Faculty of Medicine & Hlth Sci
  • Department: Medicine
  • Taught by: Jun Ding
  • 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.

Sections offered

  • Section 001 (Lec), Wed 8:35-11:25 am — 13 seats open