Package: immunaut 1.0.1
immunaut: Machine Learning Immunogenicity and Vaccine Response Analysis
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:
immunaut_1.0.1.tar.gz
immunaut_1.0.1.tar.gz(r-4.5-noble)immunaut_1.0.1.tar.gz(r-4.4-noble)
immunaut_1.0.1.tgz(r-4.4-emscripten)immunaut_1.0.1.tgz(r-4.3-emscripten)
immunaut.pdf |immunaut.html✨
immunaut/json (API)
# Install 'immunaut' in R: |
install.packages('immunaut', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/atomiclaboratory/immunaut/issues
- immunautDemo - Demo data set from immunaut package. This data is used in this package examples. It consist of 4x4 feature matrix + additional dummy columns that can be used for testing.
Last updated 4 days agofrom:9e24608880. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-linux | OK | Oct 26 2024 |
Exports:auto_simon_mlgenerate_demo_datagenerate_file_headerimmunautplot_clustered_tsne
Dependencies:ade4caretclasscliclockclusterclusterSimcodetoolscolorspacecpp11data.tabledbscanDEoptimRdiagramdigestdiptestdoParalleldplyre1071fansifarverflexmixFNNforeachfpcfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatigraphipredisobanditeratorskernlabKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmgcvModelMetricsmodeltoolsmunsellnlmennetnumDerivparallellypillarpixmappkgconfigplyrprabcluspROCprodlimprogressrproxyPRROCpurrrR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrobustbaserpartRtsnescalesshapespSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Automated Machine Learning Model Building | auto_simon_ml |
Generate a Demo Dataset with Specified Number of Clusters and Overlap | generate_demo_data |
Generate a File Header | generate_file_header |
Main function to carry out Immunaut Analysis | immunaut |
Demo data set from immunaut package. This data is used in this package examples. It consist of 4x4 feature matrix + additional dummy columns that can be used for testing. | immunautDemo |
Plot Clustered t-SNE Results | plot_clustered_tsne |