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Multi-source Survival analysis

Multi-source Survival analysis

This video was recorded at NIPS Workshops, Sierra Nevada 2011. Cancers are complex diseases, characterized by genomic changes at multiple levels of regulation. We present an integrative genome-wide approach that captures shared patterns from several data sources and extracts chromosomal regions predictive of patient survival in glioblastoma multiforme (GBM) progression and drug resistance. Our results identify known and novel genomic regions that may contribute to GBM progression and drug resistance.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

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
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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