Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

getPercentGlobalClusters

Evaluate how many clusters are global


Description

Evaluate how many clusters are global

Usage

getPercentGlobalClusters(
  p2list,
  pjc,
  pc.samples.cutoff = 0.9,
  min.cell.count.per.sample = 10
)

Arguments

p2list

list of pagoda2 object on which clustering was generated

pjc

the result of joint clustering

pc.samples.cutoff

numeric The percent of the number of the total samples that a cluster has to span to be considered global (default=0.9)

min.cell.count.per.samples

numeric The minimum number of cells of cluster in sample to be considered as represented in that sample (default=10)

Value

percent of clusters that are global given the above criteria


conos

Clustering on Network of Samples

v1.4.0
GPL-3
Authors
Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.