An open-source R/Bioconductor package for tabular omics data analysis using
a supra-hexagonal map
The supra-hexagonal map is a giant hexagon on a 2-dimensional map grid seamlessly consisting of smaller hexagons.
supraHex intends to meet the need for quickly understanding genome-wide biological data, which usually involve a large number of genomic coordinates (e.g. genes) but a much smaller number of samples.
supraHex first uses a supra-hexagonal map to self-organise the input omics data, and then post-analyses the trained map for integrated tasks: simultaneous analysis of genes and samples, and multilayer omics data comparisons.
supraHex aims to deliver an eye-intuitive tool and a dedicated website with extensive online documentation and easy-to-follow demos.