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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