Description Usage Arguments Value Examples
View source: R/rampFastQueryTab3.R
Perform fuzzy multiple linkage partitioning clustering on pathways identified by Fisher's test
1 2 | findCluster(fishers_df, perc_analyte_overlap = 0.5,
min_pathway_tocluster = 2, perc_pathway_overlap = 0.5)
|
fishers_df |
The data frame generated by runFisherTest |
perc_analyte_overlap |
Minimum overlap for pathways to be considered similar (Default = 0.5) |
min_pathway_tocluster |
Minimum number of 'similar' pathways required to start a cluster (medoid) (Default = 3) |
perc_pathway_overlap |
Minimum overlap for clusters to merge (Default = 0.5) |
list:[[1]] Pathway enrichment result dataframe with cluster assignment column added [[2]] analyte type [[3]] cluster assignment in the list form
1 2 3 4 5 6 7 8 | ## Not run:
pathwaydf<-getPathwayFromAnalyte(c("MDM2","TP53","glutamate","creatinine"),
NameOrIds="names", conpass=conpass)
fisher.results <- runCombinedFisherTest(pathwaydf=pathwaydf,conpass=conpass)
filtered.fisher.results <- FilterFishersResults(fisher.results,p_holmadj_cutoff=0.05)
filteredclust.fisher.results <- findCluster(filtered.fisher.results)
## End(Not run)
|
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