pkg <- read.dcf("DESCRIPTION", fields = "Package")[1] title <- read.dcf("DESCRIPTION", fields = "Title")[1] description <- read.dcf("DESCRIPTION", fields = "Description")[1] URL <- read.dcf('DESCRIPTION', fields = 'URL')[1] owner <- strsplit(URL,"/")[[1]][4] repo <- strsplit(URL,"/")[[1]][5]
The EWCE R package is designed to facilitate expression weighted cell type enrichment analysis as described in our Frontiers in Neuroscience paper [@skene_2016]. EWCE can be applied to any gene list.
Using EWCE essentially involves two steps:
ewceData
(which comes with EWCE). EWCE requires R>=4.1
and Bioconductor>=3.14
.
To install EWCE on Bioconductor run:
if (!require("BiocManager")){install.packages("BiocManager")} BiocManager::install("EWCE")
NOTE: This documentation is for the development version of r pkg
. See Bioconductor for documentation on the current release version.
Includes:
EWCE
are regularly pushed to
Dockerhub. Additional tutorials of various EWCE features, including how to:
Major upgrades to EWCE were made in version 1.3.1. Please see the NEWS page for more details.
If you have any problems, please do submit an Issue here on GitHub with a reproducible example.
If you use r pkg
, please cite:
r citation(pkg)$textVersion
If you use the cortex/hippocampus single-cell data associated EWCE/ewceData this package then please cite the following:
UK Dementia Research Institute
Department of Brain Sciences
Faculty of Medicine
Imperial College London
GitHub
DockerHub
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