Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

We have developed a machine learning (ML) approach using Gaussian process (GP)-based spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving host-pathogen balance in biology. We show how SCV can be applied to understanding the response of evolving covariant relatio...

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Detalles Bibliográficos
Autores principales: Loguercio, Salvatore, Calverley, Ben C., Wang, Chao, Shak, Daniel, Zhao, Pei, Sun, Shuhong, Budinger, G.R. Scott, Balch, William E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436005/
https://www.ncbi.nlm.nih.gov/pubmed/37602209
http://dx.doi.org/10.1016/j.patter.2023.100800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436005/
https://www.ncbi.nlm.nih.gov/pubmed/37602209
http://dx.doi.org/10.1016/j.patter.2023.100800

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