RCPA0.2.8 package

Consensus Pathway Analysis

plotPathwayHeatmap

Plot pathways heatmap plot from pathway/geneset/meta analysis results

plotPathwayNetwork

Plot a pathway network

processAgilent

Process and normalize agilent-based dataset

runConsensusAnalysis

Perform Consensus Analysis

runDEAnalysis

Differential expression analysis

runDEMetaAnalysis

Combine DE analysis results

getSupportedPlatforms

Get supported platforms

loadData

Load data from GitHub

plotBarChart

Plot a bar chart of the pathway analysis results

plotDEGeneHeatmap

Plot gene heatmap from a SummarizedExperiment object with DE analysis ...

plotForest

Plot pathway forest plot from pathway/geneset/meta analysis results

plotKEGGMap

Plot KEGG map with DE genes

plotMA

Plot MA plot from DE analysis results

getGeneSets

Get gene sets

downloadGEO

Download GEO data

getCePaPathwayCatalogue

Get KEGG pathway catalogue (network) for CePa.ORA and CePa.GSA methods

getCommonDEGenes

Get common significant DE genes from multiple DE Analysis results

getCommonPathways

Retrieve common significant pathways from multiple pathway analysis re...

getEntrezAnnotation

Get Entrez annotation

getSPIAKEGGNetwork

Get KEGG pathway network for SPIA method

plotVennDE

Plot Venn diagram from multiple DE Analysis results

plotVennPathway

Plot Venn diagram from multiple pathway analysis results

plotVolcanoDE

Plot volcano plot from Pathway analysis results

plotVolcanoPathway

Plot volcano plot from Pathway analysis results

processAffymetrix

Process and normalize affymetrix-based dataset

runGeneSetAnalysis

Gene Set Enrichment Analysis

runPathwayAnalysis

Topology-based Pathway Analysis

runPathwayMetaAnalysis

Perform Meta Analysis

Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.

  • Maintainer: Ha Nguyen
  • License: GPL-3
  • Last published: 2025-09-15