Mount Sinai Health System

BD2K-LINCS: Data Mining and Network Analysis Course

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

Event Type

Academic, Lecture/Seminar

Audience

Students

Campus

Icahn School of Medicine at Mount Sinai

Education

Graduate Education

Centers

Mount Sinai Center for Bioinformatics

Tags

big data, bioinformatics, biomedical science, BD2K-LINCS DCIC, MSCB, data analysis, data science

Hashtag

#bd2k

Registration

Graduate School Course Catalog

Presenter(s)

Course Director:

Avi Ma'ayan PhD
Professor, Department of Pharmacological Sciences
Director, Mount Sinai Center for Bioinformatics

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