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iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy.
Ahmed, Zahoor; Zulfiqar, Hasan; Khan, Abdullah Aman; Gul, Ijaz; Dao, Fu-Ying; Zhang, Zhao-Yue; Yu, Xiao-Long; Tang, Lixia.
Afiliación
  • Ahmed Z; School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
  • Zulfiqar H; School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
  • Khan AA; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Gul I; Sichuan Artificial Intelligence Research Institute, Yibin, China.
  • Dao FY; School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
  • Zhang ZY; Tsinghua Shenzhen International Graduate School, Institute of Biopharmaceutical and Health Engineering, Tsinghua University, Shenzhen, China.
  • Yu XL; School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
  • Tang L; School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
Front Microbiol ; 13: 790063, 2022.
Article en En | MEDLINE | ID: mdl-35273581
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza