4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies.

Yang, Sen; Yang, Zexi; Yang, Jun

Yang, Sen; Yang, Zexi; Yang, Jun.

Afiliação

Yang S; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou 213164, China; The Affiliated Changzhou No 2 People's Hospital of Nanjing Medical University, Changzhou 213164, China. Electronic address: ys@cczu.edu.cn.
Yang Z; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou 213164, China.
Yang J; School of Educational Sciences, Yili Normal University, Yining 835000, China.

Int J Biol Macromol ; 231: 123180, 2023 Mar 15.

Article em En | MEDLINE | ID: mdl-36646347

Assuntos

Caenorhabditis elegans; Drosophila melanogaster; Animais; Caenorhabditis elegans/genética; Escherichia coli/genética; DNA/química; Aprendizado de Máquina

Palavras-chave

Chemical information; Ensemble learning; N4-methylcytosine

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caenorhabditis elegans / Drosophila melanogaster Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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