source("http://bioconductor.org/biocLite.R")
biocLite("supraHex")

supraHex

A supra-hexagonal map for analysing tabular omics data

Bioconductor version: 2.13

A supra-hexagonal map is a giant hexagon on a 2-dimensional grid seamlessly consisting of smaller hexagons. It is supposed to train, analyse and visualise a high-dimensional omics data. The supraHex is able to carray out gene/meta-gene clustering and sample correlation, plus intuitive visualisations to facilitate exploratory analysis. Uniquely to this package, users can simultaneously understand their own omics data in a sample-specific fashion but without loss of information on large genes.

Author: Hai Fang and Julian Gough

Maintainer: Hai Fang <hfang at cs.bris.ac.uk>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("supraHex")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("supraHex")

 

PDF	R Script	supraHex User Manual
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bioinformatics, Clustering, GeneExpression, Software, Visualization
Version	1.0.0
In Bioconductor since	BioC 2.13 (R-3.0)
License	GPL-2
Depends	R (>= 3.0.1), hexbin
Imports	grid, MASS, Biobase
Suggests
System Requirements
URL	http://supfam.org/SUPERFAMILY/dcGO/supraHex.html
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	supraHex_1.0.0.tar.gz
Windows Binary	supraHex_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	supraHex_1.0.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats