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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: O’Hara, Stephen, Wang, Kun, Slayden, Richard A, Schenkel, Alan R, Huber, Greg, O’Hern, Corey S, Shattuck, Mark D, Kirby, Michael
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2013
Gaiak:
Methodology Article
Sarrera elektronikoa: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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