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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: O’Hara, Stephen, Wang, Kun, Slayden, Richard A, Schenkel, Alan R, Huber, Greg, O’Hern, Corey S, Shattuck, Mark D, Kirby, Michael
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2013
Aiheet:
Methodology Article
Linkit: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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