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Active Semisupervised Model for Improving the Identification of Anticancer Peptides
[Image: see text] Cancer is one of the most dangerous threats to human health. Accurate identification of anticancer peptides (ACPs) is valuable for the development and design of new anticancer agents. However, most machine-learning algorithms have limited ability to identify ACPs, and their accurac...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459422/ https://www.ncbi.nlm.nih.gov/pubmed/34568678 http://dx.doi.org/10.1021/acsomega.1c03132 |