Supervised redundant feature detection for tumor classification

BACKGROUND: As a high dimensional problem, analysis of microarray data sets is a challenging task, where many weakly relevant or redundant features affect overall performance of classifiers. METHODS: The previous works used redundant feature detection methods to select discriminative compact gene se...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Xue-Qiang, Li, Guo-Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243100/
https://www.ncbi.nlm.nih.gov/pubmed/25350857
http://dx.doi.org/10.1186/1755-8794-7-S2-S5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243100/
https://www.ncbi.nlm.nih.gov/pubmed/25350857
http://dx.doi.org/10.1186/1755-8794-7-S2-S5

Ejemplares similares