Using k-mer embeddings learned from a Skip-gram based neural network for building a cross-species DNA N6-methyladenine site prediction model.

Nguyen, Trinh Trung Duong; Trinh, Van Ngu; Le, Nguyen Quoc Khanh; Ou, Yu-Yen

Nguyen, Trinh Trung Duong; Trinh, Van Ngu; Le, Nguyen Quoc Khanh; Ou, Yu-Yen.

Afiliação

Nguyen TTD; Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, 32003, Taiwan.
Trinh VN; Soonchunhyang Institute of Medi-Bio Science, Soonchunhyang University, Cheonan, 31151, South Korea.
Le NQK; Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei City, 106, Taiwan.
Ou YY; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei City, 106, Taiwan.

Plant Mol Biol ; 107(6): 533-542, 2021 Dec.

Article em En | MEDLINE | ID: mdl-34843033

Assuntos

Adenina/análogos & derivados; Algoritmos; Modelos Biológicos; Redes Neurais de Computação; Adenina/metabolismo; Sequência de Bases; DNA de Plantas/genética; Bases de Dados Genéticas; Nucleotídeos/genética; Plantas/genética; Curva ROC; Inquéritos e Questionários

Palavras-chave

DNA N6-methyladenine site prediction; Ensemble tree-based algorithms; Natural language processing; k-mer embeddings

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

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