Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network.

Chen, Xiangning; Chen, Daniel G; Zhao, Zhongming; Zhan, Justin; Ji, Changrong; Chen, Jingchun

Chen, Xiangning; Chen, Daniel G; Zhao, Zhongming; Zhan, Justin; Ji, Changrong; Chen, Jingchun.

Afiliação

Chen X; 410 AI, LLC, 10 Plummer Ct, Germantown, MD 20876, USA.
Chen DG; A3.AI INC., 10530 Stevenson Road, Stevenson, MD 21153, USA.
Zhao Z; 410 AI, LLC, 10 Plummer Ct, Germantown, MD 20876, USA.
Zhan J; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Ji C; Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Chen J; Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR 72701, USA.

Patterns (N Y) ; 2(8): 100303, 2021 Aug 13.

Article em En | MEDLINE | ID: mdl-34430925

Palavras-chave

GWAS-selected genetic variants; artificial image objects; artificial intelligence/machine learning; convolutional neural network; disease risk modeling; image classification; polygenic risk score; random forest; schizophrenia classification; support vector machine

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos