To install this package, start R and enter:


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


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>

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


To install this package, start R and enter:



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



PDF R Script supraHex User Manual
PDF   Reference Manual
Text   NEWS


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
System Requirements
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 (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

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center