Decoding regulatory structures and features from epigenomics profiles: A Roadmap-ENCODE Variational Auto-Encoder (RE-VAE) model.

Hu, Ruifeng; Pei, Guangsheng; Jia, Peilin; Zhao, Zhongming

Hu, Ruifeng; Pei, Guangsheng; Jia, Peilin; Zhao, Zhongming.

Afiliación

Hu R; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Pei G; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Jia P; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Electronic address: peilin.jia@uth.tmc.edu.
Zhao Z; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Department of Biomedical

Methods ; 189: 44-53, 2021 05.

Article en En | MEDLINE | ID: mdl-31672653

Asunto(s)

Epigenómica/métodos; Redes Reguladoras de Genes; Código de Histonas; Modelos Genéticos; Secuenciación de Inmunoprecipitación de Cromatina; Humanos; Especificidad de Órganos; Secuencias Reguladoras de Ácidos Nucleicos

Palabras clave

Epigenomic; Histone mark; Roadmap Epigenomics; Tissue specificity; Variational Auto-Encoder

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Código de Histonas / Redes Reguladoras de Genes / Epigenómica / Modelos Genéticos Límite: Humans Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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