i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation.

Hasan, Md Mehedi; Manavalan, Balachandran; Shoombuatong, Watshara; Khatun, Mst Shamima; Kurata, Hiroyuki

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation.

Hasan, Md Mehedi; Manavalan, Balachandran; Shoombuatong, Watshara; Khatun, Mst Shamima; Kurata, Hiroyuki.

Afiliación

Hasan MM; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
Manavalan B; Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, 102-0083, Japan.
Shoombuatong W; Department of Physiology, Ajou University School of Medicine, Suwon, 443380, Korea.
Khatun MS; Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand.
Kurata H; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.

Plant Mol Biol ; 103(1-2): 225-234, 2020 May.

Article en En | MEDLINE | ID: mdl-32140819

Asunto(s)

Adenina/análogos & derivados; ADN de Plantas/metabolismo; Rosaceae/metabolismo; Adenina/metabolismo; Algoritmos; Sitios de Unión; Biología Computacional; Conjuntos de Datos como Asunto; Aprendizaje Automático; Modelos Genéticos; Rosaceae/genética

Palabras clave

DNA 6 mA; Feature encoding; Machine learning; Sequence analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adenina / ADN de Plantas / Rosaceae Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Plant Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR / BOTANICA Año: 2020 Tipo del documento: Article País de afiliación: Japón

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