Machine learning applications for transcription level and phenotype predictions.

Chantaraamporn, Juthamard; Phumikhet, Pongpannee; Nguantad, Sarintip; Techo, Todsapol; Charoensawan, Varodom

Chantaraamporn, Juthamard; Phumikhet, Pongpannee; Nguantad, Sarintip; Techo, Todsapol; Charoensawan, Varodom.

Afiliación

Chantaraamporn J; Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.
Phumikhet P; Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.
Nguantad S; Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.
Techo T; Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.
Charoensawan V; Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.

IUBMB Life ; 74(12): 1273-1287, 2022 12.

Article en En | MEDLINE | ID: mdl-36345613

Asunto(s)

Genómica; Aprendizaje Automático; Reproducibilidad de los Resultados; Fenotipo; Genoma

Palabras clave

artificial intelligence; deep learning; epigenomics; machine learning; phenotype prediction; transcriptomics

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: IUBMB Life Asunto de la revista: BIOLOGIA MOLECULAR / BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Reino Unido

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