Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites

MOTIVATION: The rapid and extensive transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented global health emergency, affecting millions of people and causing an immense socioeconomic impact. The identification of SARS-CoV-2 phosphorylation sites p...

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Detalles Bibliográficos
Autores principales: Jiao, Shihu, Ye, Xiucai, Ao, Chunyan, Sakurai, Tetsuya, Zou, Quan, Xu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628388/
https://www.ncbi.nlm.nih.gov/pubmed/37847658
http://dx.doi.org/10.1093/bioinformatics/btad627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628388/
https://www.ncbi.nlm.nih.gov/pubmed/37847658
http://dx.doi.org/10.1093/bioinformatics/btad627

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