Package: granulator
Type: Package
Title: Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq data 
Version: 1.19.0
Authors@R: 
  c(person(given = "Sabina",
           family = "Pfister",
           role = c("aut", "cre"),
           email = "sabina.pfister@novartis.com"),
    person(given = "Vincent",
           family = "Kuettel",
           role = "aut"),
    person(given = "Enrico",
           family = "Ferrero",
           role = "aut"))
Description: granulator is an R package for the cell type deconvolution of heterogeneous tissues based on bulk RNA-seq data or single cell RNA-seq expression profiles. The package provides a unified testing interface to rapidly run and benchmark multiple state-of-the-art deconvolution methods. Data for the deconvolution of peripheral blood mononuclear cells (PBMCs) into individual immune cell types is provided as well.
URL: https://github.com/xanibas/granulator
BugReports: https://github.com/xanibas/granulator/issues
Depends: R (>= 4.1)
Suggests: 
    BiocStyle,
    knitr,
    rmarkdown,
    testthat
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: FALSE
RoxygenNote: 7.1.1
biocViews: RNASeq, GeneExpression, DifferentialExpression, Transcriptomics, SingleCell, StatisticalMethod, Regression
Imports:
	cowplot,
	e1071,
	epiR,
	dplyr,
	dtangle,
	ggplot2, 
	ggplotify,
	grDevices,
	limSolve,
	magrittr,
	MASS,
	nnls,
	parallel, 
	pheatmap,
	purrr,
	rlang,
	stats,
	tibble,
	tidyr,
	utils
git_url: https://git.bioconductor.org/packages/granulator
git_branch: devel
git_last_commit: 2dde115
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
