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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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| Pubblicato in: | Mol Ther Nucleic Acids |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Society of Gene & Cell Therapy
2020
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| Soggetti: | |
| Accesso online: | 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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