recipe bioconductor-suprahex

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







biotools: suprahex

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.

package bioconductor-suprahex

(downloads) docker_bioconductor-suprahex



Required By


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-suprahex

and update with:

conda update bioconductor-suprahex

or use the docker container:

docker pull<tag>

(see bioconductor-suprahex/tags for valid values for <tag>)