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SecProCT: In Silico Prediction of Human Secretory Proteins Based on Capsule Network and Transformer
Identifying secretory proteins from blood, saliva or other body fluids has become an effective method of diagnosing diseases. Existing secretory protein prediction methods are mainly based on conventional machine learning algorithms and are highly dependent on the feature set from the protein. In th...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396571/ https://www.ncbi.nlm.nih.gov/pubmed/34445760 http://dx.doi.org/10.3390/ijms22169054 |