Undergraduate Catalog

BMED 431 Data Mining and Machine Learning for Bioinformatics

The course provides the students a comprehensive discussion of data-intensive computations and hands-on experience on applications of data mining and machine learning in the area of bioinformatics, scaffolding the concept of decision support systems and exploring advanced methodologies.. The course also covers information retrieval, feature selection, feature extraction, visualization, unsupervised learning, and supervised learning techniques for analyzing and extracting patterns from bioinformatics dataset, surfacing potential models and associations with the pathologies and their effects related to the examined datasets.

Credits

3

Prerequisite

BMED 430

Offered

Spring