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Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens
MOTIVATION: Reverse vaccinology (RV) is a milestone in rational vaccine design, and machine learning (ML) has been applied to enhance the accuracy of RV prediction. However, ML-based RV still faces challenges in prediction accuracy and program accessibility. RESULTS: This study presents Vaxign-ML, a...
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| Publicat a: | Bioinformatics |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7214037/ https://ncbi.nlm.nih.gov/pubmed/32096826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa119 |
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