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AEC 510 Machine Learning Approaches in Biological Sciences Section: 001

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  • AEC 510 001 - Fall 2021 - Machine Learning Approaches in Biological Sciences

Course Description

A wide range of high-throughput technologies are now being used to generate data to answer an ever-increasingly diverse set of questions about biological systems. The next great challenge is integrating data analysis in a systems biology approach that utilizes novel supervised machine learning methods, which accommodate heterogeneity of data, are robust to biological variation, and provide mechanistic insight. The course will not focus on detailed mathematical models, but instead on how these machine learning tools may be used to analyze biological data, in particular gene and protein expression.

FALL 2021

Instructors

  • Benjamin Reading
  • Classes Start:August 16, 2021
  • Classes End:November 29, 2021
  • Location: 00283 David Clark Labs
  • Class Days: W
  • Class Start Time: 9:35am
  • Class End Time: 11:25am
  • Class Type: Lecture
  • Credits: 2.00
  • Delivery Method: In Person
  • Restrictions: Restriction: Graduate standing; Senior Undergraduates with permission from instructor

Instructor Info

Benjamin Reading

Email: bjreadin@ncsu.edu

Phone: 919-515-3830

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