ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.

Yin, Rui; Luo, Zihan; Zhuang, Pei; Zeng, Min; Li, Min; Lin, Zhuoyi; Kwoh, Chee Keong

Yin, Rui; Luo, Zihan; Zhuang, Pei; Zeng, Min; Li, Min; Lin, Zhuoyi; Kwoh, Chee Keong.

Afiliação

Yin R; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, USA; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore. Electronic address: ruiyin@ufl.edu.
Luo Z; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China.
Zhuang P; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Zeng M; School of Computer Science and Engineering, Central South University, Changsha, China.
Li M; School of Computer Science and Engineering, Central South University, Changsha, China.
Lin Z; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Kwoh CK; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.

J Biomed Inform ; 142: 104388, 2023 06.

Article em En | MEDLINE | ID: mdl-37178781

Assuntos

Influenza Humana; Orthomyxoviridae; Animais; Camundongos; Humanos; Virulência/genética; Mutação; Orthomyxoviridae/genética; Genômica; Mamíferos

Palavras-chave

Genomics; Influenza; Machine learning; Prior viral knowledge; Virulence prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Orthomyxoviridae / Influenza Humana Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

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