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Material Detail

Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus

Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus

This video was recorded at Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB), Tuusula 2006. This work studies a machine learning technique designed for exploring relations between microarray experiment data and the corpus of gene-related literature available via PubMed. The use of this task is found in that it provides better clusters of genes by fusing both information sources together, while it can also be used to guide the expert through the large corpus of gene-related literature based on insights into microarray experiments and vice versa.
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:
February 10, 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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