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Iterative feature removal yields highly discriminative pathways

BACKGROUND: We introduce Iterative Feature Removal (IFR) as an unbiased approach for selecting features with diagnostic capacity from large data sets. The algorithm is based on recently developed tools in machine learning that are driven by sparse feature selection goals. When applied to genomic dat...

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Detalhes bibliográficos
Main Authors: O’Hara, Stephen, Wang, Kun, Slayden, Richard A, Schenkel, Alan R, Huber, Greg, O’Hern, Corey S, Shattuck, Mark D, Kirby, Michael
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2013
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3879090/
https://ncbi.nlm.nih.gov/pubmed/24274115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-14-832
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