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TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides
The accurate identification of anticancer peptides (ACPs) and antimicrobial peptides (AMPs) remains a computational challenge. We propose a tri-fusion neural network termed TriNet for the accurate prediction of both ACPs and AMPs. The framework first defines three kinds of features to capture the pe...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028424/ https://www.ncbi.nlm.nih.gov/pubmed/36960450 http://dx.doi.org/10.1016/j.patter.2023.100702 |