Prediction of Genetic Factors of Hyperthyroidism Based on Gene Interaction Network.

Shen, Fei; Cai, Wensong; Gan, Xiaoxiong; Feng, Jianhua; Chen, Zhen; Guo, Mengli; Wei, Fang; Cao, Jie; Xu, Bo

Shen, Fei; Cai, Wensong; Gan, Xiaoxiong; Feng, Jianhua; Chen, Zhen; Guo, Mengli; Wei, Fang; Cao, Jie; Xu, Bo.

Afiliação

Shen F; Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Cai W; Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Gan X; Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Feng J; Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Chen Z; Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Guo M; Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Wei F; Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Cao J; Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xu B; Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.

Front Cell Dev Biol ; 9: 700355, 2021.

Article em En | MEDLINE | ID: mdl-34409035

Palavras-chave

a novel machine learning method; gene interaction network; hyperthyroidism; multiple Relevance Vector Machines; random walk

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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