View source: R/simplify_similarity.R
| reduce_genesets | R Documentation | 
Analyses are performed independently per 'source' of genesets. The result of this function is the geneset table with a newly appended column 'signif_and_reduced'
reduce_genesets(
  clusters,
  simscore_threshold = 0.9,
  universe_fraction = 0.25,
  signifgenes_fraction = 0.9
)
| clusters | results from  | 
| simscore_threshold | similarity score (0~1) that is required to consider one geneset to be a "parent term" of another. Setting a lower value will yield fewer genesets / stronger summarization. Typical settings for this parameter are 0.8~0.99 (0.9 is default) | 
| universe_fraction | discard genesets that cover more than X fraction of all genes in the universe (unique set of genes covered by all significant genesets). Setting this to 0.25 will deprioritize genesets that cover 25% of all genes (in significant genesets). This prevents very generic GO terms like "protein-containing complex" to be included in results. Typical settings for this parameter are 0.1~0.5 (0.25 is default) | 
| signifgenes_fraction | the minimum fraction of "foreground genes" ('genes_signif' column) found across all significant genesets that should be covered by the reduced geneset collection. This parameter doesn't do anything if there are fewer than 5 "foreground genes" alltogether. Typical settings for this parameter are 0.75~0.95 (0.9 is default) | 
the genesets table from the clusters parameter, with results in column "signif_and_reduced"
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