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cff-version: 1.2.0
message: 'To cite package "HTGM2D" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'HTGM2D: Two Dimensional High Throughput ''GoMiner'''
version: 1.1.1
doi: 10.32614/CRAN.package.HTGM2D
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 developed a two-dimensional version
  of 'High-Throughput GoMiner' ('HTGM2D'). I generate a 2D heat map whose axes are
  any two of BP, MF, or CC, and the value within a picture element of the heat map
  reflects the Jaccard metric p-value for the number of genes in common for the corresponding
  pair.
authors:
- family-names: Zeeberg
  given-names: Barry
  email: barryz2013@gmail.com
repository: https://barryzee.r-universe.dev
commit: 860e4a7b390e81039f2b10b3a1595858d4764e9a
date-released: '2026-02-03'
contact:
- family-names: Zeeberg
  given-names: Barry
  email: barryz2013@gmail.com