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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: O’Hara, Stephen, Wang, Kun, Slayden, Richard A, Schenkel, Alan R, Huber, Greg, O’Hern, Corey S, Shattuck, Mark D, Kirby, Michael
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2013
Ämnen:
Methodology Article
Länkar: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
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk