To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ChIPXpress")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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 | Bioinformatics, ChIPchip, ChIPseq, Software | 
| Version | 1.4.0 | 
| In Bioconductor since | BioC 2.11 (R-2.15) | 
| License | GPL(>=2) | 
| Depends | R (>= 2.10), ChIPXpressData | 
| Imports | Biobase, GEOquery, frma, affy, bigmemory, biganalytics | 
| Suggests | mouse4302frmavecs, mouse4302.db, mouse4302cdf, RUnit, BiocGenerics | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | ChIPXpress_1.4.0.tar.gz | 
| Windows Binary | |
| Mac OS X 10.6 (Snow Leopard) | ChIPXpress_1.4.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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