CFA: An explainable deep learning model for annotating the transcriptional roles of cis-regulatory modules based on epigenetic codes.

Yang, Tzu-Hsien; Yu, Yu-Huai; Wu, Sheng-Hang; Zhang, Fang-Yuan

Yang, Tzu-Hsien; Yu, Yu-Huai; Wu, Sheng-Hang; Zhang, Fang-Yuan.

Afiliación

Yang TH; Department of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan. Electronic address: thyangza@gs.ncku.edu.tw.
Yu YH; Department of Information Management, National University of Kaohsiung, Kaohsiung University Rd, 811 Kaohsiung, Taiwan. Electronic address: m1093308@mail.nuk.edu.tw.
Wu SH; Department of Information Management, National University of Kaohsiung, Kaohsiung University Rd, 811 Kaohsiung, Taiwan. Electronic address: a1083322@mail.nuk.edu.tw.
Zhang FY; Department of Information Management, National University of Kaohsiung, Kaohsiung University Rd, 811 Kaohsiung, Taiwan. Electronic address: a1083305@mail.nuk.edu.tw.

Comput Biol Med ; 152: 106375, 2023 01.

Article en En | MEDLINE | ID: mdl-36502693

Asunto(s)

Aprendizaje Profundo; Regiones Promotoras Genéticas/genética; Epigénesis Genética/genética

Palabras clave

Epigenetic code; Transcriptional regulation; cis-regulatory module function

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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