Loading...

Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

This paper focuses on the feature gene selection for cancer classification, which employs an optimization algorithm to select a subset of the genes. We propose a binary quantum-behaved particle swarm optimization (BQPSO) for cancer feature gene selection, coupling support vector machine (SVM) for ca...

Fuld beskrivelse

Na minha lista:
Bibliografiske detaljer
Udgivet i:Comput Math Methods Med
Main Authors: Xi, Maolong, Sun, Jun, Liu, Li, Fan, Fangyun, Wu, Xiaojun
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi Publishing Corporation 2016
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5013239/
https://ncbi.nlm.nih.gov/pubmed/27642363
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/3572705
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!