Bioconductor – ewceData (development version)

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")

 

HTML

R Script

Data package for Expression Weighted Celltype Enrichment EWCE
PDF   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