Four Dimensional High Throughput 'GoMiner'
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-05-03
Documentation
- Help pages
- 25
- Examples that run
- 44%7 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran) · 5 never run
- Exported functions with examples
- 89%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing HTGM4D adds 55 packages (32 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, bslib 5.6 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
- 1.0Latest2026-05-02 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-05-02
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 30 KB / 7 files
- Download size
- 3.3 MB
Cite
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