autoGO-package: autoGO: Auto-GO: Reproducible, Robust and High Quality...
In isabellagrassucci/autogo_cp: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
autoGO-package R Documentation
autoGO: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
Description
Auto-GO is a framework that enables automated, high quality Gene Ontology enrichment analyses visualizations. It also features a handy wrapper for Differential Expression analysis around the DESeq2 package (Love et. al 2014) and a handy wrapper around the single-sample implementation of the GSEA algorithm (ssGSEA), useful for low-numerosity transcriptional profiles. The whole framework is structured in different, independent functions, in order to let the user decide which steps of the analysis perform and which plot to produce.
Author(s)
Maintainer: Lorenzo D'Ambrosio lorenzo.dambrosio@ifo.it (ORCID)
isabellagrassucci/autogo_cp documentation built on April 10, 2022, 12:05 a.m.
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| autoGO-package | R Documentation |
autoGO: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
Description
Auto-GO is a framework that enables automated, high quality Gene Ontology enrichment analyses visualizations. It also features a handy wrapper for Differential Expression analysis around the DESeq2 package (Love et. al 2014) and a handy wrapper around the single-sample implementation of the GSEA algorithm (ssGSEA), useful for low-numerosity transcriptional profiles. The whole framework is structured in different, independent functions, in order to let the user decide which steps of the analysis perform and which plot to produce.
Author(s)
Maintainer: Lorenzo D'Ambrosio lorenzo.dambrosio@ifo.it (ORCID)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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