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granulator

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

Bioconductor version: 3.23 · Package version: 1.20.0

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.

Installation

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

BiocManager::install("granulator")

Details

MaintainerSabina Pfister <sabina.pfister@novartis.com>
AuthorSabina Pfister [aut, cre], Vincent Kuettel [aut], Enrico Ferrero [aut]
LicenseGPL-3
URLhttps://github.com/xanibas/granulator
Bug Reportshttps://github.com/xanibas/granulator/issues
StatusDeprecated
Downloads rank150
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics

Documentation

Download

Dependencies

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

Suggests: BiocStyle, knitr, rmarkdown, testthat

Reverse dependencies

Suggests Me (1): deconvR