To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("EWCE")

In most cases, you don't need to download the package archive at all.

EWCE

 

Expression Weighted Celltype Enrichment

Bioconductor version: Release (3.5)

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: Dr Nathan Skene

Maintainer: Nathan Skene <nathan.skene at gmail.com>

Citation (from within R, enter citation("EWCE")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("EWCE")

Documentation

HTML R Script Expression Weighted Celltype Enrichment with EWCE
PDF   Reference Manual

Details

biocViews BiomedicalInformatics, DifferentialExpression, FunctionalGenomics, GeneExpression, GeneSetEnrichment, Genetics, Microarray, OneChannel, Proteomics, RNASeq, Software, Transcription, Visualization, mRNAMicroarray
Version 1.3.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License Artistic-2.0
Depends R (>= 3.3)
Imports ggplot2, reshape2, biomaRt
LinkingTo
Suggests knitr, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source EWCE_1.3.0.tar.gz
Windows Binary EWCE_1.3.0.zip
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/EWCE
Package Short Url http://bioconductor.org/packages/EWCE/
Package Downloads Report Download Stats

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