Package: immApex
Title: Tools for Adaptive Immune Receptor Sequence-Based Machine and Deep Learning
Version: 1.5.2
Authors@R: c(
    person(given = "Nick", family = "Borcherding", role = c("aut", "cre"), email = "ncborch@gmail.com"))
Description: A set of tools to for machine and deep learning in R from amino acid and nucleotide sequences focusing on adaptive immune receptors. The package includes pre-processing of sequences, unifying gene nomenclature usage, encoding sequences, and combining models. This package will serve as the basis of future immune receptor sequence functions/packages/models compatible with the scRepertoire ecosystem.
License: MIT + file LICENSE 
Encoding: UTF-8
RoxygenNote: 7.3.3
biocViews: Software, ImmunoOncology, SingleCell, Classification, Annotation, Sequencing, MotifAnnotation
Depends: 
	R (>= 4.3.0)
Imports: 
  hash,
	httr,
	Matrix,
	matrixStats,
	methods,
	Rcpp,
	rvest,
	SingleCellExperiment,
	stats,
	stringr,
  utils
Suggests: 
	BiocStyle,
	dplyr,
	ggraph,
	ggplot2,
	igraph,
	knitr,
	markdown,
	Peptides,
	randomForest,
	rmarkdown, 
	scRepertoire,
	spelling,
  testthat,
	tidygraph,
	viridis
LinkingTo:
	Rcpp
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/BorchLab/immApex/
BugReports: https://github.com/BorchLab/immApex/issues
git_url: https://git.bioconductor.org/packages/immApex
git_branch: devel
git_last_commit: a9e4f89
git_last_commit_date: 2025-12-05
Repository: Bioconductor 3.23
