Package: immApex
Title: Tools for Adaptive Immune Receptor Sequence-Based Machine and Deep Learning
Version: 1.2.5
Authors@R: c(
    person(given = "Nick", family = "Borcherding", role = c("aut", "cre"), email = "[email protected]"))
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: 7.3.2
biocViews: Software, ImmunoOncology, SingleCell, Classification, Annotation, Sequencing, MotifAnnotation
Depends: 
	R (>= 4.3.0)
Imports: 
	basilisk, 
  	hash,
	httr,
	keras3,
	magrittr,
	matrixStats,
	methods,
	rvest,
	SingleCellExperiment,
	stats,
	stringi,
	stringr,
	tensorflow,
  	utils
Suggests: 
	BiocStyle,
	ggraph,
	ggplot2,
	knitr,
	ggraph,
	rmarkdown, 
	scRepertoire,
	spelling,
  	testthat,
	tidygraph,
	viridis
SystemRequirements: Python (via basilisk)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/BorchLab/immApex/
BugReports: https://github.com/BorchLab/immApex/issues