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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Detalles Bibliográficos
Autores principales: O’Hara, Stephen, Wang, Kun, Slayden, Richard A, Schenkel, Alan R, Huber, Greg, O’Hern, Corey S, Shattuck, Mark D, Kirby, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879090/
https://www.ncbi.nlm.nih.gov/pubmed/24274115
http://dx.doi.org/10.1186/1471-2164-14-832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879090/
https://www.ncbi.nlm.nih.gov/pubmed/24274115
http://dx.doi.org/10.1186/1471-2164-14-832

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