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immunaut
View on CRAN: Click
here
Download and install immunaut package within the R console
Install from CRAN:
install.packages("immunaut")
Install from Github:
library("remotes")
install_github("cran/immunaut")
Install by package version:
library("remotes")
install_version("immunaut", "1.0.1")
Attach the package and use:
library("immunaut")
Maintained by
Ivan Tomic
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-25
Latest Update: 2024-10-25
Description:
Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
How to cite:
Ivan Tomic (2024). immunaut: Machine Learning Immunogenicity and Vaccine Response Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/immunaut. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-10-25 10:40)
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