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DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
Li, Zhongxiao; Li, Yisheng; Zhang, Bin; Li, Yu; Long, Yongkang; Zhou, Juexiao; Zou, Xudong; Zhang, Min; Hu, Yuhui; Chen, Wei; Gao, Xin.
Afiliação
  • Li Z; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Li Y; Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China.
  • Zhang B; Cancer Science Institute of Singapore, Singapore 117599, Singapore.
  • Li Y; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Long Y; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia; Department of Biology, Southern University of Science and Technology (SUSTech
  • Zhou J; Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China.
  • Zou X; Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China.
  • Zhang M; Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China.
  • Hu Y; Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China. Electronic address: huyh@sustech.edu.cn.
  • Chen W; Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China. Electronic address: chenw@sustech.edu.cn.
  • Gao X; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia. Electronic address: xin.gao@kaust.edu.sa.
Genomics Proteomics Bioinformatics ; 20(3): 483-495, 2022 06.
Article em En | MEDLINE | ID: mdl-33662629
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Genomics Proteomics Bioinformatics Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Genomics Proteomics Bioinformatics Ano de publicação: 2022 Tipo de documento: Article