Authors: Alan Murphy, Brian Schilder, Hiranyamaya Dash, Nathan
Skene
README updated: Oct-21-2025
Introduction
The EWCE R package is designed to facilitate expression weighted cell
type enrichment analysis as described in our Frontiers in Neuroscience
paper1. EWCE can be applied to any gene list.
Using EWCE essentially involves two steps:
Prepare a single-cell reference; i.e. CellTypeDataset (CTD).
Alternatively, you can use one of the pre-generated CTDs we provide
via the package ewceData (which comes with EWCE).
Run cell type enrichment on a user-provided gene list.
Installation
EWCE requires R>=4.1 and
Bioconductor>=3.14. To install EWCE on Bioconductor run:
if (!require("BiocManager")){install.packages("BiocManager")}
BiocManager::install("EWCE")
Additional tutorials of various EWCE features, including how to:
Run cell-type enrichment tests
Create a CellTypeDataset
Merge two single-cell datasets
Run conditional cell-type enrichment tests
Apply to transcriptomic data
Updates
Major upgrades to EWCE were made in version 1.3.1. Please see the
NEWS page for more
details.
Troubleshooting
If you have any problems, please do submit an Issue here on
GitHub with a reproducible
example.
Citation
If you use EWCE, please cite:
Nathan G. Skene, Seth G. N. Grant (2016) Identification of Vulnerable
Cell Types in Major Brain Disorders Using Single Cell Transcriptomes
and Expression Weighted Cell Type Enrichment, Frontiers in
Neuroscience; 10, https://doi.org/10.3389/fnins.2016.00016
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
References
1.
Skene, N. & Grant, S.
Identification of vulnerable cell types in major brain disorders using
single cell transcriptomes and expression weighted cell type enrichment.
Frontiers in Neuroscience (2016).
doi:10.3389/fnins.2016.00016
EWCE:ExpressionWeightedCelltypeEnrichmentAuthors: Alan Murphy, Brian Schilder, Hiranyamaya Dash, Nathan Skene
README updated: Oct-21-2025
Introduction
The EWCE R package is designed to facilitate expression weighted cell type enrichment analysis as described in our Frontiers in Neuroscience paper1. EWCE can be applied to any gene list.
Using EWCE essentially involves two steps:
ewceData(which comes with EWCE).Installation
EWCE requires
R>=4.1andBioconductor>=3.14. To install EWCE on Bioconductor run:Documentation
Website
NOTE: This documentation is for the development version of
EWCE. See Bioconductor for documentation on the current release version.Getting started
Includes:
EWCEare regularly pushed to Dockerhub.Extended examples
Additional tutorials of various EWCE features, including how to:
Updates
Major upgrades to EWCE were made in version 1.3.1. Please see the NEWS page for more details.
Troubleshooting
If you have any problems, please do submit an Issue here on GitHub with a reproducible example.
Citation
If you use
EWCE, please cite:If you use the cortex/hippocampus single-cell data associated EWCE/ewceData this package then please cite the following:
Contact
Neurogenomics Lab
UK Dementia Research Institute
Department of Brain Sciences
Faculty of Medicine
Imperial College London
GitHub
DockerHub
References
1. Skene, N. & Grant, S. Identification of vulnerable cell types in major brain disorders using single cell transcriptomes and expression weighted cell type enrichment. Frontiers in Neuroscience (2016). doi:10.3389/fnins.2016.00016