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Probabilistic Approaches for Computational Biology and Medicine

Probabilistic Approaches for Computational Biology and Medicine

This video was recorded at Marie Curie Initial Training Network on Machine Learning for Personalized Medicine (MLPM) 1st Summer School, Tübingen, 2013. In this talk we will introduce probabilistic approaches to challenges in computational biology and personalized medicine based on Gaussian process models. We will begin the session with an introduction to Gaussian process models, and the focus on potential applications of Gaussian process models to post-genomic data types as well as traditional data types.
Keywords:
videolectures, ocwc, oec
Disciplines:
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Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
March 20, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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