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. To capture the benefit of all three ontologies, I developed 'HTGM3D', a three-dimensional version of 'GoMiner'.">

HTGM3D: Three Dimensional High Throughput 'GoMiner' (original) (raw)

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. To capture the benefit of all three ontologies, I developed 'HTGM3D', a three-dimensional version of 'GoMiner'.

Version: 1.0
Depends: R (≥ 4.2.0)
Imports: minimalistGODB, GoMiner, HTGM, HTGM2D, grDevices, stats, R2HTML, rgl, vprint, randomGODB, stringr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-05-30
DOI: 10.32614/CRAN.package.HTGM3D
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: HTGM3D results

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