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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

No vignettes available
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/
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