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Multi-label Learning for Predicting the Activities of Antimicrobial Peptides
Antimicrobial peptides (AMPs) are peptide antibiotics with a broad spectrum of antimicrobial activities. Activity prediction of AMPs from their amino acid sequences is of great therapeutic importance but imposes challenges on prediction methods due to label interactions. In this paper we propose a n...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5438384/ https://ncbi.nlm.nih.gov/pubmed/28526820 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-01986-9 |
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