Cargando…
Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin
BACKGROUND: In addition to causing the pandemic influenza outbreaks of 1918 and 2009, subtype H1N1 influenza A viruses (IAVs) have caused seasonal epidemics since 1977. Antigenic property of influenza viruses are determined by both protein sequence and N-linked glycosylation of influenza glycoprotei...
Autores principales: | Li, Lei, Chang, Deborah, Han, Lei, Zhang, Xiaojian, Zaia, Joseph, Wan, Xiu-Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216668/ https://www.ncbi.nlm.nih.gov/pubmed/32393178 http://dx.doi.org/10.1186/s12859-020-3527-5 |
Ejemplares similares
-
Multi-Task Learning for Compositional Data via Sparse Network Lasso
por: Okazaki, Akira, et al.
Publicado: (2022) -
Measuring Site-specific Glycosylation Similarity between Influenza a Virus Variants with Statistical Certainty
por: Chang, Deborah, et al.
Publicado: (2020) -
Groupyr: Sparse Group Lasso in Python
por: Richie-Halford, Adam, et al.
Publicado: (2021) -
Glycosylation at 11Asn on hemagglutinin of H5N1 influenza virus contributes to its biological characteristics
por: Yin, Yuncong, et al.
Publicado: (2017) -
Glycosylation Focuses Sequence Variation in the Influenza A Virus H1 Hemagglutinin Globular Domain
por: Das, Suman R., et al.
Publicado: (2010)