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ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation
Cancer is a well-known killer of human beings, which has led to countless deaths and misery. Anticancer peptides open a promising perspective for cancer treatment, and they have various attractive advantages. Conventional wet experiments are expensive and inefficient for finding and identifying nove...
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| Publicat a: | Mol Ther Nucleic Acids |
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| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Society of Gene & Cell Therapy
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6554234/ https://ncbi.nlm.nih.gov/pubmed/31173946 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.omtn.2019.04.025 |
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