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DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm
Cancer is one of the most dangerous diseases to human health. The accurate prediction of anticancer peptides (ACPs) would be valuable for the development and design of novel anticancer agents. Current deep neural network models have obtained state-of-the-art prediction accuracy for the ACP classific...
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| Publicado en: | Mol Ther Nucleic Acids |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Society of Gene & Cell Therapy
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7658571/ https://ncbi.nlm.nih.gov/pubmed/33230481 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.omtn.2020.10.005 |
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