Bioconductor Developer Survey 2026 Now Open!

granulator

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.23 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see granulator.

All versions 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq data


Bioconductor version: Release (3.23)

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.

Author: Sabina Pfister [aut, cre], Vincent Kuettel [aut], Enrico Ferrero [aut]

Maintainer: Sabina Pfister <sabina.pfister at novartis.com>

Citation (from within R, enter citation("granulator")):

Sabina Pfister, Vincent Kuettel, Enrico Ferrero. granulator: Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq data. doi:10.18129/B9.bioc.granulator, R package version 1.20.0, https://bioconductor.org/packages/granulator.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("granulator")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("granulator")
Deconvolution of bulk RNA-seq data with granulator HTML
Reference ManualPDF

Details

biocViews DifferentialExpression, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics
Version1.20.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 years)
License GPL-3
Depends R (>= 4.1)
Imports cowplot, e1071, epiR, dplyr, dtangle, ggplot2, ggplotify, grDevices, limSolve, magrittr, MASS, nnls, parallel, pheatmap, purrr, rlang, stats, tibble, tidyr, utils
System Requirements
URLhttps://github.com/xanibas/granulator
Bug Reportshttps://github.com/xanibas/granulator/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me deconvR
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/granulator
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/granulator
Package Short Url https://bioconductor.org/packages/granulator/
Package Downloads ReportDownload Stats