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MultiDimensional Gene Set Analysis

About

The mdgsa library implements the gene set analysis methodology developed in Montaner and Dopazo 2010. It presents a flexible framework for analyzing the enrichment of gene sets along a given ranking of genes. The novelty is that, not just one ranking index but two, may be analyzed and jointly explored in a multidimensional gene set analysis.

Install

Development version is available in GitHub:
https://github.com/dmontaner/mdgsa

You can install the development version form your R session doing:

library (devtools)
install_github ("dmontaner/mdgsa")

Documentation

Vignette

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Version

Version

1.2.0

License

GPL

Issues

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Maintainer

David Montaner

Last Published

February 15th, 2017

Functions in mdgsa (1.2.0)

getGOnames

Get Gene Ontology names
uvSignif

Filter significant terms in the univariate gene set analysis.
annotMat2list

Convert an annotation matrix into an annotation list.
pval2index

Transform p-values in into a ranking index.
revList

Revert an annotation list.
annotFilter

Checks and filters an annotation list.
goLeaves

Keep just leaf nodes from the Gene Ontology DAG.
indexTransform

Transform ranking index distribution.
transferIndex

Transfer a ranking index from regulatory elements, such as miRNAs, to genes.
splitOntologies

Split an annotation list of GO terms by ontologies.
uvGsa

Uni-Variate Gene Set Analysis.
annotList2mat

Convert an annotation list into an annotation matrix.
uvPat

Uni-Variate Gene Set Analysis Pattern Classification.
getKEGGnames

Get KEGG names
getOntology

Get GO term Ontology
plotMdGsa

Plot Multi-Dimensional Gene Set
propagateGO

Propagate Gene Ontology annotation.
mdPat

Multi-Dimensional Gene Set Analysis Pattern Classification.
mdGsa

Multi-Dimensional Gene Set Analysis.