autoGO: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations (original) (raw)
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) <doi:10.1186/s13059-014-0550-8>. 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.
Version: | 0.9.1 |
---|---|
Depends: | R (≥ 3.5.0), readr (≥ 2.1.2), dplyr (≥ 1.1.0), enrichR |
Imports: | ape, ComplexHeatmap, DESeq2, dichromat, ggplot2, ggrepel, grDevices, GSVA, imguR, openxlsx, purrr, RColorBrewer, reshape2, stats, stringr, SummarizedExperiment, textshape, tidyr, tidyselect, utils |
Suggests: | knitr, rlang, rmarkdown |
Published: | 2023-02-13 |
DOI: | 10.32614/CRAN.package.autoGO |
Author: | Isabella Grassucci [aut], Eleonora Sperandio [aut], Fabio Ticconi [cre], Alice Massacci [aut], Lorenzo D'Ambrosio [aut], Matteo Pallocca [aut] |
Maintainer: | Fabio Ticconi <fabio.ticconi at gmail.com> |
BugReports: | https://github.com/mpallocc/auto-go/issues |
License: | MIT + file |
NeedsCompilation: | no |
CRAN checks: | autoGO results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=autoGOto link to this page.