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ActivePathways (version 2.0.4)

Integrative Pathway Enrichment Analysis of Multivariate Omics Data

Description

Framework for analysing multiple omics datasets in the context of molecular pathways, biological processes and other types of gene sets. The package uses p-value merging to combine gene- or protein-level signals, followed by ranked hypergeometric tests to determine enriched pathways and processes. This approach allows researchers to interpret a series of omics datasets in the context of known biology and gene function, and discover associations that are only apparent when several datasets are combined. The first version of the package is part of the following publication: Integrative Pathway Enrichment Analysis of Multivariate Omics Data. Paczkowska M^, Barenboim J^, Sintupisut N, Fox NS, Zhu H, Abd-Rabbo D, Mee MW, Boutros PC, PCAWG Drivers and Functional Interpretation Working Group; Reimand J, PCAWG Consortium. Nature Communications (2020) .

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Version

Install

install.packages('ActivePathways')

Monthly Downloads

512

Version

2.0.4

License

GPL-3

Maintainer

Juri Reimand

Last Published

June 21st, 2024

Functions in ActivePathways (2.0.4)

enrichmentAnalysis

Perform pathway enrichment analysis on an ordered list of genes
makeBackground

Make a background list of genes (i.e., the statistical universe) based on all the terms (gene sets, pathways) considered.
merge_p_values

Merge a list or matrix of p-values
orderedHypergeometric

Ordered Hypergeometric Test
export_as_CSV

Export the results from ActivePathways as a comma-separated values (CSV) file.
hypergeometric

Hypergeometric test
prepareCytoscape

Prepare files for building an enrichment map network visualization in Cytoscape
ActivePathways

ActivePathways
DPM

Merge p-values using the DPM method.
brownsMethod

Merge p-values using the Brown's method.
columnSignificance

Determine which terms are found to be significant using each column individually.
GMT

Read and Write GMT files