This is the development version of granulator; for the stable release version, see granulator.
Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq dataBioconductor version: Development (3.22)
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, entercitation("granulator")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("granulator")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("granulator")
Details biocViews DifferentialExpression, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 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 Package Archives
Follow Installation instructions to use this package in your R session.
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