Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides
Abstract Background Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While deep learning and related neural networking methods have state-of-the-art performance, their vulnerability in decision making processes leading to irrational...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2021-05-01
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| Col·lecció: | BMC Bioinformatics |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s12859-021-04156-x |
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