Bioconductor version: Release (2.11)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("chroGPS")
To cite this package in a publication, start R and enter:
citation("chroGPS")
R Script | Manual for the chroGPS library | |
Reference Manual |
biocViews | Clustering, Software, Visualization |
Version | 1.0.1 |
In Bioconductor since | BioC 2.11 (R-2.15) |
License | GPL (>=2) |
Depends | R (>= 2.13.0), IRanges, methods, Biobase, MASS, graphics, stats, rgl |
Imports | graphics, cluster, DPpackage |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | chroGPS_1.0.1.tar.gz |
Windows Binary | chroGPS_1.0.1.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) | chroGPS_1.0.1.tgz |
Package Downloads Report | Download Stats |
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