deepMatchR/DESCRIPTION at main · BorchLab/deepMatchR · GitHub

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Package: deepMatchR
Title: Deep Learning Models for HLA Matching
Version: 0.99.0
Date: 2024-07-24
Authors@R:
    person(given = "Nick", family = "Borcherding", role = c("aut", "cre"),
           email = "ncborch@gmail.com")
Description: A set of tools and models for analyzing HLA matching. This includes
    the identification and quantification of immunogenicity mismatches, the
    generation of in silico patients based on frequency table, and interaction
    with common tools in HLA.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.3.3
biocViews: Software, Classification, Annotation, Sequencing
Depends:
	R (>= 4.1.0)
Imports:
	basilisk,
	data.table,
	directlabels,
	dplyr,
	ggplot2,
	grDevices,
	immReferent,
	memoise,
	parallel,
	patchwork,
	pwalign,
	readxl,
	reticulate,
	stats
Suggests:
	BiocStyle,
	Biostrings,
	knitr,
	mockery,
	pkgdown,
	pracma,
	rappdirs,
	rmarkdown,
	spelling,
	testthat (>= 3.0.0),
	treemapify,
	withr
SystemRequirements: Python (via basilisk)
VignetteBuilder: knitr
Language: en-US
URL: https://www.borch.dev/uploads/deepMatchR
BugReports: https://github.com/BorchLab/deepMatchR/issues