merge: Merge clusters in flow cytometry data

In RGLab/flowMerge: Cluster Merging for Flow Cytometry Data

Description

Merge the clusters in a flowClust solution using the cluster merging algorithm and entropy criterion.

Usage

merge(x,y,...)

Arguments

x	A flowObj object created from a flowClust object and a flowFrame using the flowObj constructor.
y	missing
...	Additional arguments. i.e. metric="entropy"|"mahalanobis"

Details

Run the cluster merging algorithm on the max BIC solution from a call to flowClust. The optional argument, metric specifies the measure used for clustering. Either "mahalanobis" or "entropy". Defaults to "entropy".

Value

A list of unnamed flowMerge objects. The first element of the list corresponds to the 1–cluster merged solution. The second element corresponds to the 2–cluster merged solution, and so on.

Author(s)

Greg Finak <[e-mail]>

References

Finak G, Bashasharti A, Brinkmann R, Gottardo R. Merging Mixture Model Components for Improved Cell Population Identification in High Throughput Flow Cytometry Data (Submitted)

See Also

flowClust,flowObj

Examples

#data(rituximab)
#data(RituximabFlowClustFit)
#o<-flowObj(flowClust.res[[which.max(BIC(flowClust.res))]],rituximab)
#m<-merge(o);

RGLab/flowMerge documentation built on Aug. 10, 2020, 12:52 p.m.