MetaclusterCVs: MetaclusterCVs

In saeyslab/FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data

MetaclusterCVs

Description

Compute the coefficient of variation for the metaclusters

Usage

MetaclusterCVs(fsom)

Arguments

fsom	Result of calling the FlowSOM function

Value

Metacluster CVs

Examples

fileName <- system.file("extdata", "68983.fcs", package="FlowSOM")
ff <- flowCore::read.FCS(fileName)
ff <- flowCore::compensate(ff,ff@description$SPILL)
ff <- flowCore::transform(ff,
         flowCore::transformList(colnames(ff@description$SPILL),
                                flowCore::logicleTransform()))
flowSOM.res <- FlowSOM(ff,scale=TRUE,colsToUse=c(9,12,14:18), nClus=10)
cvs <- GetMetaclusterCVs(flowSOM.res)

saeyslab/FlowSOM documentation built on July 6, 2024, 10:59 a.m.