To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EWCE")
In most cases, you don't need to download the package archive at all.
EWCE
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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("https://bioconductor.org/biocLite.R")
biocLite("EWCE")
Documentation
| HTML | R Script | Expression Weighted Celltype Enrichment with EWCE |
| 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.
| Source Package | 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 |
Documentation »
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