كتاب إلكتروني
MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model
| العنوان: | MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model |
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| المؤلفون: | Shishir, Fairuz ShadmaniAff12, Sarker, BishnuAff13, Rahman, FarzanaAff14, Shomaji, SumaiyaAff12 |
| المساهمون: | Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Rojas, Ignacio, editorAff7, Valenzuela, Olga, editorAff8, Rojas Ruiz, Fernando, editorAff9, Herrera, Luis Javier, editorAff10, Ortuño, Francisco, editorAff11 |
| المصدر: | Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II. 13920:42-55 |
| قاعدة البيانات: | Springer Nature eBooks |
| ردمك: | 9783031349591 9783031349607 |
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| DOI: | 10.1007/978-3-031-34960-7_4 |