Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm.

Li, Jiabin; Ding, Jieying; Zhi, D U; Gu, Kaiyun; Wang, Hui

Li, Jiabin; Ding, Jieying; Zhi, D U; Gu, Kaiyun; Wang, Hui.

Afiliación

Li J; Department of Pharmacy, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Ding J; Department of Pharmacy, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Zhi DU; Department of Pharmacy, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Gu K; Department of National Center, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Wang H; Laboratory and Equipment Management Office, Zhejiang University of Traditional Chinese Medicine, Hangzhou, China 310052.

Biomed Res Int ; 2022: 1230761, 2022.

Article en En | MEDLINE | ID: mdl-35281591

Asunto(s)

Diabetes Mellitus Tipo 2; Máquina de Vectores de Soporte; Algoritmos; Biología Computacional/métodos; Diabetes Mellitus Tipo 2/diagnóstico; Diabetes Mellitus Tipo 2/genética; Perfilación de la Expresión Génica; Redes Reguladoras de Genes; Marcadores Genéticos; Humanos; Mapas de Interacción de Proteínas/genética

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Máquina de Vectores de Soporte Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biomed Res Int Año: 2022 Tipo del documento: Article

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