granulator
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see granulator.
Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq data
Bioconductor version: 3.19
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("granulator")
):
Installation
To install this package, start R (version "4.4") 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")
Deconvoluting bulk RNA-seq data with granulator | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics |
Version | 1.12.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (3.5 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 | |
URL | https://github.com/xanibas/granulator |
Bug Reports | https://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 |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | granulator_1.12.0.tar.gz |
Windows Binary (x86_64) | granulator_1.12.0.zip |
macOS Binary (x86_64) | granulator_1.12.0.tgz |
macOS Binary (arm64) | granulator_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/granulator |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/granulator |
Bioc Package Browser | https://code.bioconductor.org/browse/granulator/ |
Package Short Url | https://bioconductor.org/packages/granulator/ |
Package Downloads Report | Download Stats |