Learn R Programming

⚠️There's a newer version (1.4.2) of this package.Take me there.

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

Copy Link

Version

Version

1.4.0

License

GPL

Issues

Pull Requests

Stars

Forks

Maintainer

David Montaner

Last Published

February 15th, 2017

Functions in mdgsa (1.4.0)

annotMat2list

Convert an annotation matrix into an annotation list.
getKEGGnames

Get KEGG names
getOntology

Get GO term Ontology
splitOntologies

Split an annotation list of GO terms by ontologies.
transferIndex

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

Get Gene Ontology names
plotMdGsa

Plot Multi-Dimensional Gene Set
propagateGO

Propagate Gene Ontology annotation.
mdPat

Multi-Dimensional Gene Set Analysis Pattern Classification.
goLeaves

Keep just leaf nodes from the Gene Ontology DAG.
uvSignif

Filter significant terms in the univariate gene set analysis.
indexTransform

Transform ranking index distribution.
mdGsa

Multi-Dimensional Gene Set Analysis.
uvGsa

Uni-Variate Gene Set Analysis.
uvPat

Uni-Variate Gene Set Analysis Pattern Classification.
pval2index

Transform p-values in into a ranking index.
revList

Revert an annotation list.
annotList2mat

Convert an annotation list into an annotation matrix.
annotFilter

Checks and filters an annotation list.