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 |
| 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 LICENSE |
| NeedsCompilation: |
no |
| CRAN checks: |
autoGO results |