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...

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Detalles Bibliográficos
Autores principales: Du, Wei, Zhao, Xuan, Sun, Yu, Zheng, Lei, Li, Ying, Zhang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396571/
https://www.ncbi.nlm.nih.gov/pubmed/34445760
http://dx.doi.org/10.3390/ijms22169054

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