The Data Mining and Network Analysis course covers methods that include machine learning applications in systems biology including unsupervised clustering and supervised learning; analysis of the topology of biological regulatory networks; and a survey of how these approaches are applied to study biological molecular networks; papers that combine computational predictions with experimental validation are highlighted; and use of software tools to analyze proteomics and genomics collected by the LINCS experimental expression data.
Click here for the course description in the graduate school course catalog.
Tuesday, December 6, 2016 at 4:00pm to 5:30pm
Icahn School of Medicine at Mount Sinai
One Gustave L. Levy Place New York, NY 10029-6574