To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("chroGPS")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
We provide intuitive maps to visualize the association between genetic elements, with emphasis on epigenetics. The approach is based on Multi-Dimensional Scaling. We provide several sensible distance metrics, and adjustment procedures to remove systematic biases typically observed when merging data obtained under different technologies or genetic backgrounds.
Author: Oscar Reina, David Rossell
Maintainer: Oscar Reina <oscar.reina at irbbarcelona.org>
Citation (from within R,
      enter citation("chroGPS")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("chroGPS")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("chroGPS")
    
| R Script | Manual for the chroGPS library | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Clustering, Software, Visualization | 
| Version | 1.6.1 | 
| In Bioconductor since | BioC 2.11 (R-2.15) | 
| License | GPL (>=2) | 
| Depends | R (>= 2.13.0), IRanges, methods, Biobase, MASS, graphics, stats, rgl, changepoint | 
| Imports | graphics, cluster, DPpackage, ICSNP | 
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | chroGPS_1.6.1.tar.gz | 
| Windows Binary | chroGPS_1.6.1.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | chroGPS_1.6.1.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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