DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning.

Wahab, Abdul; Mahmoudi, Omid; Kim, Jeehong; Chong, Kil To

Wahab, Abdul; Mahmoudi, Omid; Kim, Jeehong; Chong, Kil To.

Afiliación

Wahab A; Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, Korea.
Mahmoudi O; Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, Korea.
Kim J; Department of New & Renewable Energy, VISION College of Jeonju, Jeonju 55069, Korea.
Chong KT; Department of Electronics Engineering, Jeonbuk National University, Jeonju 54896, Korea.

Cells ; 9(8)2020 07 22.

Article en En | MEDLINE | ID: mdl-32707969

Asunto(s)

Citosina/análogos & derivados; ADN de Plantas/química; Aprendizaje Profundo; Fragaria/genética; Genoma de Planta; Modelos Estadísticos; Rosa/genética; Secuencia de Bases; Biología Computacional/métodos; Citosina/química

Palabras clave

DNA encoding methods; N4-methylcytosine; bioinformatics; computational biology; deep learning; rosaceae genome

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Genoma de Planta / ADN de Plantas / Rosa / Citosina / Fragaria / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cells Año: 2020 Tipo del documento: Article Pais de publicación: Suiza

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