| enrich: EnrichmentResult | The GCModeller enrichment analysis output table |
| as.data.frame.enrichmentresult | EnrichmentResult: The GCModeller enrichment analysis output table |
| read.enrichment | Read the enrichment analysis result table from a csv file. |
| enrichment | do GSEA enrichment analysisGene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with disease phenotypes. The method uses statistical approaches to identify significantly enriched or depleted groups of genes. Transcriptomics technologies and proteomics results often identify thousands of genes which are used for the analysis. |
| fisher | Fisher exact test for the enrichment of a single gene set term. |
| enrichment.go | Do the GO (Gene Ontology) GSEA enrichment analysis. |
| write.enrichment | Save the enrichment analysis result as a csv table file. |
| as.KOBAS_terms | Convert GSEA enrichment result from GCModeller output format to KOBAS output format |
| enrichment.go_dag | Create the network graph data of the GO enrichment result for the Cytoscape. |
| enrichment.draw.go_dag | Draw the GO enrichment DAG graph as a raster image. |
| cast_enrichs | Create the GCModeller enrichment analysis result objects from the raw data vectors. |
| to_enrichment_terms | Cast a |