GSEA
require(GCModeller);
#' The GCModeller GSEA toolkit
imports "GSEA" from "gseakit";
The GCModeller GSEA toolkit
##### Gene set enrichment analysis
Gene 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.
.NET clr function exports
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read.enrichment
|
read the enrichment result table |
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enrichment
|
do GSEA enrichment analysis
Gene 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. |
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fisher
|
fisher enrichment test |
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enrichment.go
|
do GO GSEA enrichment analysis |
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write.enrichment
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save the enrichment analysis result |
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as.KOBAS_terms
|
Convert GSEA enrichment result from GCModeller output format to KOBAS output format |
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enrichment.go_dag
|
Create network graph data for Cytoscape |
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enrichment.draw.go_dag
|
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cast_enrichs
|
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to_enrichment_terms
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