Other packages > Find by keyword >

HTGM2D  

Two Dimensional High Throughput 'GoMiner'
View on CRAN: Click here


Download and install HTGM2D package within the R console
Install from CRAN:
install.packages("HTGM2D")

Install from Github:
library("remotes")
install_github("cran/HTGM2D")

Install by package version:
library("remotes")
install_version("HTGM2D", "1.1.1")



Attach the package and use:
library("HTGM2D")
Maintained by
Barry Zeeberg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-07
Latest Update: 2025-05-18
Description:
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 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.
How to cite:
Barry Zeeberg (2025). HTGM2D: Two Dimensional High Throughput 'GoMiner'. R package version 1.1.1, https://cran.r-project.org/web/packages/HTGM2D. Accessed 24 Oct. 2026.
Previous versions and publish date:
1.0 (2025-04-07 18:10), 1.1 (2025-05-18 22:30), (2026-07-09 08:06)
Other packages that cited HTGM2D R package
View HTGM2D citation profile
Other R packages that HTGM2D depends, imports, suggests or enhances
Complete documentation for HTGM2D
Functions, R codes and Examples using the HTGM2D R package
Full HTGM2D package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA