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immunaut  

Machine Learning Immunogenicity and Vaccine Response Analysis
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]
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)
Other packages that cited immunaut R package
View immunaut citation profile
Other R packages that immunaut depends, imports, suggests or enhances
Complete documentation for immunaut
Functions, R codes and Examples using the immunaut R package
Full immunaut package functions and examples
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