Other packages > Find by keyword >

autoGO  

Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("autoGO", "1.0.3")



Attach the package and use:
library("autoGO")
Maintained by
Fabio Ticconi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-16
Latest Update: 2025-08-19
Description:
Auto-GO is a framework that enables automated, high quality Gene Ontology enrichment analysis visualizations. It also features a handy wrapper for Differential Expression analysis around the 'DESeq2' package described in Love et al. (2014) . The whole framework is structured in different, independent functions, in order to let the user decide which steps of the analysis to perform and which plot to produce.
How to cite:
Fabio Ticconi (2023). autoGO: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations. R package version 1.0.3, https://cran.r-project.org/web/packages/autoGO. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:19), 0.9.1 (2023-02-13 23:50), 0.9 (2023-01-16 11:10), 1.0.1 (2025-02-27 17:50)
Other packages that cited autoGO R package
View autoGO citation profile
Other R packages that autoGO depends, imports, suggests or enhances
Complete documentation for autoGO
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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