To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

supraHex

A supra-hexagonal map for analysing tabular omics data

Bioconductor version: Release (3.0)

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 input data. The supraHex is able to carry out gene clustering/meta-clustering and sample correlation, plus intuitive visualisations to facilitate exploratory analysis. More importantly, it allows for overlaying additional data onto the trained map to explore relations between input and additional data. So with supraHex, it is also possible to carry out multilayer omics data comparisons. Newly added utilities are advanced heatmap visualisation and tree-based analysis of sample relationships. Uniquely to this package, users can ultrafastly understand any tabular omics data, both scientifically and artistically, especially in a sample-specific fashion but without loss of information on large genes (see http://www.ncbi.nlm.nih.gov/pubmed/24309102).

Author: Hai Fang and Julian Gough

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

Citation (from within R, enter citation("supraHex")):

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 1.4.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-2
Depends R (>= 3.0.2), hexbin
Imports ape, MASS
Suggests
System Requirements
URL http://supfam.org/supraHex
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source supraHex_1.4.0.tar.gz
Windows Binary supraHex_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) supraHex_1.4.0.tgz
Mac OS X 10.9 (Mavericks) supraHex_1.4.0.tgz
Browse/checkout source (username/password: readonly)
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