DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers.

Suleman, Muhammad Taseer; Alkhalifah, Tamim; Alturise, Fahad; Khan, Yaser Daanial

Suleman, Muhammad Taseer; Alkhalifah, Tamim; Alturise, Fahad; Khan, Yaser Daanial.

Afiliação

Suleman MT; Department of Computer Science, School of Systems and Technology, University of Management & Technology, Lahore, Pakistan.
Alkhalifah T; Department of Computer, College of Science and Arts in Ar Rass Qassim University, Ar Rass, Qassim, Saudi Arabia.
Alturise F; Department of Computer, College of Science and Arts in Ar Rass Qassim University, Ar Rass, Qassim, Saudi Arabia.
Khan YD; Department of Computer Science, School of Systems and Technology, University of Management & Technology, Lahore, Pakistan.

PeerJ ; 10: e14104, 2022.

Article em En | MEDLINE | ID: mdl-36320563

Assuntos

Biologia Computacional; RNA de Transferência; Humanos; Biologia Computacional/métodos; Aprendizado de Máquina; Eucariotos

Palavras-chave

Classification; DHU-Pred; Dihydrouridine; Machine learning; Post Transcriptional Modification; Prediction; RNA; Random Forest; Statistical moments; Uridine modifications

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA de Transferência / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PeerJ Ano de publicação: 2022 Tipo de documento: Article

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