DOI: 10.18129/B9.bioc.ewceData
This is the development version of ewceData; for the stable release version, see
ewceData.
The ewceData package provides reference data required for ewce
Bioconductor version: Development (3.14)
This package provides reference data required for ewce. Expression Weighted Celltype Enrichment (EWCE) is used to determine which cell types are enriched within gene lists. The package provides tools for testing enrichments within simple gene lists (such as human disease associated genes) and those resulting from differential expression studies. The package does not depend upon any particular Single Cell Transcriptome dataset and user defined datasets can be loaded in and used in the analyses.
Author: Alan Murphy [cre] , Nathan Skene [aut]
Maintainer: Alan Murphy <alanmurph94 at hotmail.com>
Citation (from within R,
enter citation("ewceData")
):
Installation
To install this package, start R (version
“4.1”) and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("ewceData")
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("ewceData")
Data package for Expression Weighted Celltype Enrichment EWCE | ||
Reference Manual |
Details
biocViews | ExperimentData, ExperimentHub, ExpressionData, Genome, MicroarrayData, Proteome, RNASeqData, SequencingData, SingleCellData |
Version | 1.1.0 |
License | Artistic-2.0 |
Depends | R (>= 4.1), ExperimentHub |
Imports | |
LinkingTo | |
Suggests | knitr, BiocStyle, ggplot2, cowplot, rmarkdown, markdown, testthat (>= 3.0.0) |
SystemRequirements | |
Enhances | |
URL | github.com/neurogenomics/ewceData |
Depends On Me | |
Imports Me | EWCE |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link