supraHex

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This is the development version of supraHex; for the stable release version, see supraHex.

supraHex: a supra-hexagonal map for analysing tabular omics data


Bioconductor version: Development (3.21)

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.

Author: Hai Fang and Julian Gough

Maintainer: Hai Fang <hfang at well.ox.ac.uk>

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

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("supraHex")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Clustering, GeneExpression, Software, Visualization
Version 1.45.1
In Bioconductor since BioC 2.13 (R-3.0) (11 years)
License GPL-2
Depends R (>= 3.6), hexbin
Imports ape, MASS, grDevices, graphics, stats, readr, tibble, tidyr, dplyr, stringr, purrr, magrittr, igraph, methods
System Requirements
URL http://suprahex.r-forge.r-project.org
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/supraHex
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/supraHex
Package Short Url https://bioconductor.org/packages/supraHex/
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