To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("FEM")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
The FEM package performs a systems-level integrative analysis of DNA methylation and gene expression data. It seeks modules of functionally related genes which exhibit differential promoter DNA methylation and differential expression, where an inverse association between promoter DNA methylation and gene expression is assumed. For full details, see Jiao et al Bioinformatics 2014.
Author: Andrew E. Teschendorff and Zhen Yang
Maintainer: Zhen Yang <yangzhen at picb.ac.cn>
Citation (from within R,
enter citation("FEM")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("FEM")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FEM")
R Script | The FEM package performs a systems-level integrative analysis of DNA methylationa and gene expression. It seeks modules of functionally related genes which exhibit differential promoter DNA methylation and differential expression, where an inverse association between promoter DNA methylation and gene expression is assumed. For full details, see Jiao et al Bioinformatics 2014. | |
Reference Manual |
biocViews | DifferentialExpression, DifferentialMethylation, NetworkEnrichment, Software, SystemsBiology |
Version | 3.4.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (3 years) |
License | GPL (>=2) |
Depends | AnnotationDbi, Matrix, marray, corrplot, igraph, impute, limma, org.Hs.eg.db, graph, BiocGenerics |
Imports | graph |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | ChAMP |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | FEM_3.4.0.tar.gz |
Windows Binary | FEM_3.4.0.zip |
Mac OS X 10.11 (El Capitan) | FEM_3.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/FEM |
Package Short Url | http://bioconductor.org/packages/FEM/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: