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cff-version: 1.2.0
message: 'To cite package "immunaut" in publications use:'
type: software
license: GPL-3.0-only
title: 'immunaut: Machine Learning Immunogenicity and Vaccine Response Analysis'
version: 1.0.1
doi: 10.32614/CRAN.package.immunaut
abstract: 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.
authors:
- family-names: Tomic
  given-names: Ivan
  email: info@ivantomic.com
  orcid: https://orcid.org/0000-0003-3596-681X
- family-names: Tomic
  given-names: Adriana
  email: tomic.adriana@gmail.com
  orcid: https://orcid.org/0000-0001-9885-3535
- family-names: Hao
  given-names: Stephanie
  email: sphao@bu.edu
  orcid: https://orcid.org/0000-0002-3760-8234
repository: https://CRAN.R-project.org/package=immunaut
repository-code: https://github.com/atomiclaboratory/immunaut
url: https://github.com/atomiclaboratory/immunaut
date-released: '2024-10-24'
contact:
- family-names: Tomic
  given-names: Ivan
  email: info@ivantomic.com
  orcid: https://orcid.org/0000-0003-3596-681X