Cargando…
The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system
Machine learning has the potential to identify novel biological factors underlying successful antibody responses to influenza vaccines. The first attempts have revealed a high level of complexity in establishing influenza immunity, and many different cellular and molecular components are involved. O...
Autores principales: | Tomic, Adriana, Tomic, Ivan, Dekker, Cornelia L., Maecker, Holden T., Davis, Mark M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803714/ https://www.ncbi.nlm.nih.gov/pubmed/31636302 http://dx.doi.org/10.1038/s41597-019-0213-4 |
Ejemplares similares
-
Systems Immunology: Revealing Influenza Immunological Imprint
por: Tomic, Adriana, et al.
Publicado: (2021) -
Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication
por: Akhavan, Javid, et al.
Publicado: (2023) -
A dataset of global ocean alkaline phosphatase activity
por: Su, Bei, et al.
Publicado: (2023) -
Dataset on child vaccination in Brazil from 1996 to 2021
por: Boccolini, Patricia de Moraes Mello, et al.
Publicado: (2023) -
European primary datasets of alien bacteria and viruses
por: Magliozzi, Chiara, et al.
Publicado: (2022)