The genetic algorithm-aided three-stage ensemble learning method identified a robust survival risk score in patients with glioma.

Zhu, Sujie; Kong, Weikaixin; Zhu, Jie; Huang, Liting; Wang, Shixin; Bi, Suzhen; Xie, Zhengwei

Zhu, Sujie; Kong, Weikaixin; Zhu, Jie; Huang, Liting; Wang, Shixin; Bi, Suzhen; Xie, Zhengwei.

Afiliação

Zhu S; Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.
Kong W; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Finland.
Zhu J; Institute Sanqu Technology (Hangzhou) Co., Ltd., Hangzhou, China.
Huang L; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Finland.
Wang S; Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.
Bi S; Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.
Xie Z; Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.

Brief Bioinform ; 23(5)2022 09 20.

Article em En | MEDLINE | ID: mdl-36088543

Assuntos

Glioma; Aprendizado de Máquina; Glioma/genética; Humanos; Curva ROC; Fatores de Risco

Palavras-chave

batch effect; ensemble learning; genetic algorithm

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Glioma Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Ano de publicação: 2022 Tipo de documento: Article

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