Cargando…
A systems vaccinology resource to develop and test computational models of immunity
Computational models that predict an individual’s response to a vaccine offer the potential for mechanistic insights and personalized vaccination strategies. These models are increasingly derived from systems vaccinology studies that generate immune profiles from human cohorts pre- and post-vaccinat...
Autores principales: | Shinde, Pramod, Soldevila, Ferran, Reyna, Joaquin, Aoki, Minori, Rasmussen, Mikkel, Willemsen, Lisa, Kojima, Mari, Ha, Brendan, Greenbaum, Jason A, Overton, James A, Guzman-Orozco, Hector, Nili, Somayeh, Orfield, Shelby, Gygi, Jeremy P., da Silva Antunes, Ricardo, Sette, Alessandro, Grant, Barry, Olsen, Lars Rønn, Konstorum, Anna, Guan, Leying, Ay, Ferhat, Kleinstein, Steven H., Peters, Bjoern |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491180/ https://www.ncbi.nlm.nih.gov/pubmed/37693565 http://dx.doi.org/10.1101/2023.08.28.555193 |
Ejemplares similares
-
Predictive overfitting in immunological applications: Pitfalls and solutions
por: Gygi, Jeremy P., et al.
Publicado: (2023) -
The Immune Signatures data resource, a compendium of systems vaccinology datasets
por: Diray-Arce, Joann, et al.
Publicado: (2022) -
Query enhancement through the practical application of ontology: the IEDB and OBI
por: Vita, Randi, et al.
Publicado: (2013) -
Computational Vaccinology
por: Davies, Matthew N., et al.
Publicado: (2009) -
Vaccinology – Editorial
por: Pizza, Mariagrazia, et al.
Publicado: (2020)