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Chen et al., 2010 - Google Patents

Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies

Chen et al., 2010

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Document ID
11342711332188636993
Author
Chen B
Chen M
Paisley J
Zaas A
Woods C
Ginsburg G
Hero III A
Lucas J
Dunson D
Carin L
Publication year
Publication venue
BMC bioinformatics

External Links

Snippet

Abstract Background Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data. We consider such techniques for sparse factor analysis, with …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

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    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
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    • G—PHYSICS
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