BTEC 423 - Machine Learning Applications for Translational Bioinformatics (4)

This course provides a knowledge and practical experience in ML for bioinformatics applications in the analysis of large clinical and -omics datasets. Students will learn a comprehensive ‘roundup’ of ML algorithms with coursework focusing on bioinformatics and clinical data analytics. Open-source datasets will be utilized including the Framingham Heart Study and Omics studies from NCBI GenBank and Cancer Genome Atlas. Practical coursework will utilize the Python programming language with scikit-learn on Jupyter Notebooks.

Grading: Graded
Course ID: 102924
Consent: No Special Consent Required
Components: Laboratory, Lecture
Typically Offered: Offered Fall
Prerequisite: BTEC 330, BTEC 362, BTEC 395, and (BTEC 350 or STAT 350) with a grade of ‘C’ or better.