Cargando…
Optimal combination of feature selection and classification via local hyperplane based learning strategy
BACKGROUND: Classifying cancers by gene selection is among the most important and challenging procedures in biomedicine. A major challenge is to design an effective method that eliminates irrelevant, redundant, or noisy genes from the classification, while retaining all of the highly discriminative...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498526/ https://www.ncbi.nlm.nih.gov/pubmed/26159165 http://dx.doi.org/10.1186/s12859-015-0629-6 |