Based on large margin principle, this package performs feature selection methods: "IM4E"(Iterative Margin-Maximization under Max-Min Entropy Algorithm); "Immigrate"(Iterative Max-Min Entropy Margin-Maximization with Interaction Terms Algorithm); "BIM"(Boosted version of IMMIGRATE algorithm); "Simba"(Iterative Search Margin Based Algorithm); "LFE"(Local Feature Extraction Algorithm). This package also performs prediction for the above feature selection methods.

Fitting and validation of machine learning algorithms
             for volume prediction of trees, currently for conifer trees based on
			 diameter at breast height and height as explanatory variables.

A comprehensive analytics framework for building reproducible pipelines on T-cell and B-cell immune receptor repertoire data.
    Delivers multi-modal immune profiling (bulk, single-cell, CITE-seq/AbSeq, spatial, immunogenicity data), 
    feature engineering (ML-ready feature tables and matrices), and biomarker discovery workflows
    (cohort comparisons, longitudinal tracking, repertoire similarity, enrichment). 
    Provides a user-friendly interface to widely used AIRR methods — 
    clonality/diversity, V(D)J usage, similarity, annotation, tracking, and many more.
    Think Scanpy or Seurat, but for AIRR data, a.k.a. Adaptive Immune Receptor Repertoire, VDJ-seq, RepSeq, or 
    VDJ sequencing data. A successor to our previously published "tcR" R package (Nazarov 2015).

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.