Cargando…
Influenza virus genotype to phenotype predictions through machine learning: a systematic review: Computational Prediction of Influenza Phenotype
Background: There is great interest in understanding the viral genomic predictors of phenotypic traits that allow influenza A viruses to adapt to or become more virulent in different hosts. Machine learning techniques have demonstrated promise in addressing this critical need for other pathogens bec...
Autores principales: | Borkenhagen, Laura K., Allen, Martin W., Runstadler, Jonathan A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462836/ https://www.ncbi.nlm.nih.gov/pubmed/34498543 http://dx.doi.org/10.1080/22221751.2021.1978824 |
Ejemplares similares
-
Emerging triple-reassortant influenza C virus with household-associated infection during an influenza A(H3N2) outbreak, China, 2022
por: Cao, Lan, et al.
Publicado: (2023) -
A case of human infection by H3N8 influenza virus
por: Tan, Xin, et al.
Publicado: (2022) -
Genetic characterization of a new candidate hemagglutinin subtype of influenza A viruses
por: Fereidouni, Sasan, et al.
Publicado: (2023) -
Immunodominance hierarchy after seasonal influenza vaccination
por: Sánchez-de Prada, Laura, et al.
Publicado: (2022) -
Emergence, prevalence, and evolution of H5N8 avian influenza viruses in central China, 2020
por: Li, Xiang, et al.
Publicado: (2021)