Pan-tissue methylation aging clock: Recalibrated and a method to analyze and interpret the selected features.

Vijayakumar, Karthikeyan A; Cho, Gwang-Won

Vijayakumar, Karthikeyan A; Cho, Gwang-Won.

Afiliación

Vijayakumar KA; Department of Biology, College of Natural Science, Chosun University, Gwangju 501-759, South Korea; BK21 FOUR Education Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Science, Chosun University, Gwangju 501-759, South Korea.
Cho GW; Department of Biology, College of Natural Science, Chosun University, Gwangju 501-759, South Korea; BK21 FOUR Education Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Science, Chosun University, Gwangju 501-759, South Korea. Electronic address: gwcho@chosun.ac.kr.

Mech Ageing Dev ; 204: 111676, 2022 06.

Article en En | MEDLINE | ID: mdl-35489615

Asunto(s)

Metilación de ADN; Epigenómica; Envejecimiento/genética; Islas de CpG; Epigénesis Genética; Epigenómica/métodos; Humanos; Aprendizaje Automático

Palabras clave

Aging; Artificial intelligence; DNA methylation; Epigenetics; Machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metilación de ADN / Epigenómica Límite: Humans Idioma: En Revista: Mech Ageing Dev Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Irlanda

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