Tracking mutational semantics of SARS-CoV-2 genomes

Natural language processing (NLP) algorithms process linguistic data in order to discover the associated word semantics and develop models that can describe or even predict the latent meanings of the data. The applications of NLP become multi-fold while dealing with dynamic or temporally evolving da...

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Detalles Bibliográficos
Autores principales: Singh, Rohan, Nagpal, Sunil, Pinna, Nishal K., Mande, Sharmila S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487856/
https://www.ncbi.nlm.nih.gov/pubmed/36127400
http://dx.doi.org/10.1038/s41598-022-20000-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487856/
https://www.ncbi.nlm.nih.gov/pubmed/36127400
http://dx.doi.org/10.1038/s41598-022-20000-5

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