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A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

BACKGROUND: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular signatures on their way toward clinical deployment. Use of the most accurate classification algorithms available for microar...

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Bibliografiske detaljer
Main Authors: Statnikov, Alexander, Wang, Lily, Aliferis, Constantin F
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2008
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2492881/
https://ncbi.nlm.nih.gov/pubmed/18647401
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-319
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