Bioconductor version: 3.7
R package that supports the F1000Research workflow article `Easy and efficient ensemble gene set testing with EGSEA', Alhamdoosh et al. (2017).
Author: Monther Alhamdoosh, Charity Law, Luyi Tian, Julie Sheridan, Milica Ng and Matthew Ritchie
Maintainer: Matthew Ritchie <mritchie at wehi.edu.au>
Citation (from within R,
enter citation("EGSEA123")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("EGSEA123")
To view available workflows for the version of this package installed in your system, start R and enter:
browseVignettes("EGSEA123")
HTML | R Script | Easy and efficient ensemble gene set testing with EGSEA |
biocViews | GeneExpressionWorkflow, Workflow |
Version | 1.2.0 |
License | Artistic-2.0 |
Depends | R (>= 3.4.0), EGSEA(>= 1.5.2), limma, edgeR, illuminaio |
Imports | |
LinkingTo | |
Suggests | knitr, rmarkdown, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://www.bioconductor.org/help/workflows/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
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