A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization.

Han, Fei; Tang, Di; Sun, Yu-Wen-Tian; Cheng, Zhun; Jiang, Jing; Li, Qiu-Wei

Han, Fei; Tang, Di; Sun, Yu-Wen-Tian; Cheng, Zhun; Jiang, Jing; Li, Qiu-Wei.

Afiliação

Han F; School of Computer Science and Communication Engineering, Jiangsu University, Xuefu Road, Zhenjiang, Jiangsu, China. hanfei@ujs.edu.cn.
Tang D; Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Zhenjiang, Jiangsu, China. hanfei@ujs.edu.cn.
Sun YW; School of Computer Science and Communication Engineering, Jiangsu University, Xuefu Road, Zhenjiang, Jiangsu, China.
Cheng Z; Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Zhenjiang, Jiangsu, China.
Jiang J; School of Computer Science and Communication Engineering, Jiangsu University, Xuefu Road, Zhenjiang, Jiangsu, China.
Li QW; Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Zhenjiang, Jiangsu, China.

BMC Bioinformatics ; 20(Suppl 8): 289, 2019 Jun 10.

Article em En | MEDLINE | ID: mdl-31182017

Assuntos

Algoritmos; Genes; Bases de Dados Genéticas; Humanos; Aprendizado de Máquina; Neoplasias/genética

Palavras-chave

Gene scoring; Gene selection; Microarray data; Particle swarm optimization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Genes Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

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