Characteristic gene prognostic model of type 1 diabetes mellitus via machine learning strategy.

Wang, Fenglin; Liang, Jiemei; Zhu, Di; Xiang, Pengan; Zhou, Luyao; Yang, Caizhe

Wang, Fenglin; Liang, Jiemei; Zhu, Di; Xiang, Pengan; Zhou, Luyao; Yang, Caizhe.

Afiliación

Wang F; Department of Endocrinology of the Air Force Medical Center, People's Liberation Army, Beijing 100142, China.
Liang J; Hebei North University, Zhangjiakou 075000, China.
Zhu D; Department of Endocrinology of the Air Force Medical Center, People's Liberation Army, Beijing 100142, China.
Xiang P; Hebei North University, Zhangjiakou 075000, China.
Zhou L; Department of Endocrinology of the Air Force Medical Center, People's Liberation Army, Beijing 100142, China.
Yang C; Hospital of 94498 Troops, People's Liberation Army, Nanyang 474300, China.

Endocr J ; 70(3): 281-294, 2023 Mar 28.

Article en En | MEDLINE | ID: mdl-36477008

Asunto(s)

Diabetes Mellitus Tipo 1; Humanos; Pronóstico; Diabetes Mellitus Tipo 1/diagnóstico; Diabetes Mellitus Tipo 1/genética; Leucocitos Mononucleares; Algoritmos; Aprendizaje Automático; Proteínas Nucleares; Proteínas de Unión al ARN; Acetiltransferasas; Proteínas Cromosómicas no Histona

Palabras clave

Bioinformatic analysis; Gene expression profiles; Immune cells; Type 1 diabetes

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 1 Tipo de estudio: Prognostic_studies Idioma: En Revista: Endocr J Asunto de la revista: ENDOCRINOLOGIA Año: 2023 Tipo del documento: Article

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