SeqEnhDL: sequence-based classification of cell type-specific enhancers using deep learning models.

Wang, Yupeng; Jaime-Lara, Rosario B; Roy, Abhrarup; Sun, Ying; Liu, Xinyue; Joseph, Paule V

Wang, Yupeng; Jaime-Lara, Rosario B; Roy, Abhrarup; Sun, Ying; Liu, Xinyue; Joseph, Paule V.

Afiliação

Wang Y; BDX Research and Consulting LLC, Herndon, VA, 20171, USA. ywang@bdxconsult.com.
Jaime-Lara RB; Division of Intramural Research, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, 20892, USA. ywang@bdxconsult.com.
Roy A; Division of Intramural Clinical and Biological Research (DICBR), National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, 20892, USA.
Sun Y; Division of Intramural Research, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, 20892, USA.
Liu X; Division of Intramural Research, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, 20892, USA.
Joseph PV; BDX Research and Consulting LLC, Herndon, VA, 20171, USA.

BMC Res Notes ; 14(1): 104, 2021 Mar 19.

Article em En | MEDLINE | ID: mdl-33741075

Assuntos

Aprendizado Profundo; Elementos Facilitadores Genéticos; DNA; Elementos Facilitadores Genéticos/genética; Redes Neurais de Computação; Análise de Sequência de DNA

Palavras-chave

Cell type; Classification; DNA sequence; Deep learning; Enhancer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article