richCluster,richResult-method | R Documentation |
kappa cluster analysis
## S4 method for signature 'richResult'
richCluster(
x,
gene = NULL,
useTerm = FALSE,
cutoff = 0.5,
overlap = 0.5,
minSize = 5,
escore = 3
)
x |
richResult object or dataframe |
gene |
(Optional).a vector of gene list |
useTerm |
to use the term or not (TRUE/FALSE) |
cutoff |
kappa score threshold for significant dispersion results |
overlap |
cutoff value of the overlap between two Terms |
minSize |
minimal number of terms in the cluster |
escore |
kappa enrichment score cutoff value (default: 3) |
Kai Guo
## Not run:
hsago<-buildAnnot(species="human",keytype="SYMBOL",anntype = "GO")
gene=sample(unique(hsago$GeneID),1000)
res<-richGO(gene,godata = hsago,ontology ="BP")
resc<-richCluster(res)
## End(Not run)
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