This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see escape.
Bioconductor version: 3.13
A bridging R package to facilitate gene set enrichment analysis (GSEA) in the context of single-cell RNA sequencing. Using raw count information, Seurat objects, or SingleCellExperiment format, users can perform and visualize GSEA across individual cells.
Author: Nick Borcherding [aut, cre], Jared Andrews [aut]
Maintainer: Nick Borcherding <ncborch at gmail.com>
Citation (from within R,
enter citation("escape")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("escape")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("escape")
HTML | R Script | Escape-ingToWork |
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, Classification, GeneSetEnrichment, GeneSignaling, Pathways, Sequencing, SingleCell, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (1 year) |
License | Apache License 2.0 |
Depends | R (>= 4.0) |
Imports | grDevices, dplyr, ggplot2, GSEABase, GSVA, SingleCellExperiment, limma, ggridges, msigdbr, stats, BiocParallel, Matrix |
LinkingTo | |
Suggests | Seurat, SeuratObject, knitr, rmarkdown, BiocStyle, testthat, dittoSeq(>= 1.1.2) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | escape_1.2.0.tar.gz |
Windows Binary | escape_1.2.0.zip |
macOS 10.13 (High Sierra) | escape_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/escape |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/escape |
Package Short Url | https://bioconductor.org/packages/escape/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: