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CnnPOGTP: a novel CNN-based predictor for identifying the optimal growth temperatures of prokaryotes using only genomic k-mers distribution.
Wang, Shaojing; Li, Guoqiang; Liao, Zitong; Cao, Yunke; Yun, Yuan; Su, Zhaoying; Tian, Xuefeng; Gui, Ziyu; Ma, Ting.
Afiliação
  • Wang S; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Li G; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Liao Z; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Cao Y; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Yun Y; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Su Z; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Tian X; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Gui Z; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
  • Ma T; Key Laboratory of Molecular Microbiology and Technology, College of Life Sciences, Nankai University, Ministry of Education, Tianjin 300071, China.
Bioinformatics ; 38(11): 3106-3108, 2022 05 26.
Article em En | MEDLINE | ID: mdl-35460223
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China