PD-BertEDL: An Ensemble Deep Learning Method Using BERT and Multivariate Representation to Predict Peptide Detectability

Peptide detectability is defined as the probability of identifying a peptide from a mixture of standard samples, which is a key step in protein identification and analysis. Exploring effective methods for predicting peptide detectability is helpful for disease treatment and clinical research. Howeve...

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Detalles Bibliográficos
Autores principales: Wang, Huiqing, Wang, Juan, Feng, Zhipeng, Li, Ying, Zhao, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604182/
https://www.ncbi.nlm.nih.gov/pubmed/36293242
http://dx.doi.org/10.3390/ijms232012385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604182/
https://www.ncbi.nlm.nih.gov/pubmed/36293242
http://dx.doi.org/10.3390/ijms232012385

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