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cff-version: 1.2.0
message: 'To cite package "HTGM4D" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'HTGM4D: Four Dimensional High Throughput ''GoMiner'''
version: '1.0'
doi: 10.32614/CRAN.package.HTGM4D
abstract: 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) <https://doi.org/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.
authors:
- family-names: Zeeberg
  given-names: Barry
  email: barryz2013@gmail.com
repository: https://barryzee.r-universe.dev
commit: 1dbb0905003c967fca3017bca79bbca9f51a5962
date-released: '2026-04-29'
contact:
- family-names: Zeeberg
  given-names: Barry
  email: barryz2013@gmail.com