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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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מידע ביבליוגרפי
Main Authors: O’Hara, Stephen, Wang, Kun, Slayden, Richard A, Schenkel, Alan R, Huber, Greg, O’Hern, Corey S, Shattuck, Mark D, Kirby, Michael
פורמט: Artigo
שפה:Inglês
יצא לאור: BioMed Central 2013
נושאים:
גישה מקוונת: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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