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EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning.
Zhou, Bailing; Ding, Maolin; Feng, Jing; Ji, Baohua; Huang, Pingping; Zhang, Junye; Yu, Xue; Cao, Zanxia; Yang, Yuedong; Zhou, Yaoqi; Wang, Jihua.
  • Zhou B; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Ding M; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
  • Feng J; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Ji B; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Huang P; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Zhang J; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Yu X; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Cao Z; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Yang Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
  • Zhou Y; Institute for Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China.
  • Wang J; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
Brief Bioinform ; 24(1)2023 01 19.
Article en En | MEDLINE | ID: mdl-36573492
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN Largo no Codificante / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN Largo no Codificante / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Año: 2023 Tipo del documento: Article