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
| Maintainer | Sabina Pfister <sabina.pfister@novartis.com> |
| Author | Sabina Pfister [aut, cre], Vincent Kuettel [aut], Enrico Ferrero [aut] |
| License | GPL-3 |
| URL | https://github.com/xanibas/granulator |
| Bug Reports | https://github.com/xanibas/granulator/issues |
| Status | Deprecated |
| Downloads rank | 150 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GeneExpression, RNASeq, Regression, SingleCell, Software, StatisticalMethod, Transcriptomics |
Documentation
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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
Reverse dependencies
Suggests Me (1): deconvR