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An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings
<p>Abstract</p> <p>Background</p> <p>As computational power improves, the application of more advanced machine learning techniques to the analysis of large genome-wide association (GWA) datasets becomes possible. While most traditional statistical methods can only eluci...
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Glavni autori: | , , , |
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Format: | Artigo |
Jezik: | Inglês |
Izdano: |
BMC
2010-06-01
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Serija: | BMC Genetics |
Online pristup: | http://www.biomedcentral.com/1471-2156/11/49 |
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