HTGM4D: Four Dimensional High Throughput 'GoMiner'
The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes
into hierarchical categories based on biological process (BP), molecular function (MF) and
cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R.,
Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform
ontological analysis of microarray and proteomics studies, typically generating a list of
significant functional categories. Microarray studies are usually analyzed with BP, whereas
proteomics researchers often prefer CC. To capture the benefit of both of those ontologies,
I now present an enhancement of the existing two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'),
which is called 'HTGM4D'. The original 'HTGM2D' is augmented by adding two instances of the original
'GoMiner' genes versus categories heatmaps, aligned with the categories axes of the 'HTGM2D' heatmap.
| Version: |
1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
minimalistGODB, GoMiner, HTGM, HTGM2D, grDevices, stats, gplots, vprint, randomGODB, HGNChelper, png, magick, svglite, utils, graphics |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-05-02 |
| DOI: |
10.32614/CRAN.package.HTGM4D (may not be active yet) |
| Author: |
Barry Zeeberg [aut, cre] |
| Maintainer: |
Barry Zeeberg <barryz2013 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
HTGM4D results |
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