Joint learning sample similarity and correlation representation for cancer survival prediction.

Hao, Yaru; Jing, Xiao-Yuan; Sun, Qixing

Hao, Yaru; Jing, Xiao-Yuan; Sun, Qixing.

Afiliação

Hao Y; School of Computer Science, Wuhan University, Wuhan, China. hyr2018@whu.edu.cn.
Jing XY; School of Computer Science, Wuhan University, Wuhan, China. jingxy_2000@126.com.
Sun Q; Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis and School of Computer, Guangdong University of Petrochemical Technology, Maoming, China. jingxy_2000@126.com.

BMC Bioinformatics ; 23(1): 553, 2022 Dec 19.

Article em En | MEDLINE | ID: mdl-36536289

Assuntos

Neoplasias; Humanos; Neoplasias/genética; Genômica/métodos; Genoma; Sequenciamento de Nucleotídeos em Larga Escala

Palavras-chave

Cancer survival prediction; Correlation representation; Feature information; Similarity matrix; Structure information

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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