Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis
Abstract Efforts to enhance the accuracy of protein sequence classification are of utmost importance in driving forward biological analyses and facilitating significant medical advancements. This study presents a cutting-edge model called ProtICNN-BiLSTM, which combines attention-based Improved Conv...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BMC
2024-08-01
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| Seria: | BMC Medical Informatics and Decision Making |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1186/s12911-024-02631-y |
| Etykiety: |
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