... | ... | @@ -12,7 +12,7 @@ The R package **ClusterProfiler** enables to perform over-representation (ORA) a |
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- "gseGo.txt", "gseKegg.txt" : Gene Set Enrichment Analysis results for Gene Ontology and Kegg Pathways. You can find all about GSEA analysis on the [Broad Institut GSEA page](https://www.gsea-msigdb.org/gsea/index.jsp).
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- "stringFunctionalEnrichment.tsv" : ORA analysis from the [STRING-DB](https://string-db.org/) database.
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![Tertiary Analysis](images/terAnalysis.png)
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![Tertiary Analysis](../images/terAnalysis.png)
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The ORA need at least 10 genes to be performed. If there are enough genes found, the images will appear in the final report giving you hints on the most significative ontologies and pathways.
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The GSEA needs genes that can be ranked according to their adjusted p-values. If most genes in the analysis are near 1 in term of p-value, the GSEA will not work properly.
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