To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ChIPXpress")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see ChIPXpress.
Bioconductor version: 3.4
ChIPXpress takes as input predicted TF bound genes from ChIPx data and uses a corresponding database of gene expression profiles downloaded from NCBI GEO to rank the TF bound targets in order of which gene is most likely to be functional TF target.
Author: George Wu
Maintainer: George Wu <gewu at jhsph.edu>
Citation (from within R,
enter citation("ChIPXpress")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ChIPXpress")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ChIPXpress")
R Script | ChIPXpress | |
Reference Manual |
biocViews | ChIPSeq, ChIPchip, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (4.5 years) |
License | GPL(>=2) |
Depends | R (>= 2.10), ChIPXpressData |
Imports | Biobase, GEOquery, frma, affy, bigmemory, biganalytics |
LinkingTo | |
Suggests | mouse4302frmavecs, mouse4302.db, mouse4302cdf, RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ChIPXpress_1.16.0.tar.gz |
Windows Binary | |
Mac OS X 10.9 (Mavericks) | ChIPXpress_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ChIPXpress/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/ChIPXpress/ |
Package Downloads Report | Download Stats |
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