Learn R Programming

flowMerge (version 2.20.0)

Cluster Merging for Flow Cytometry Data

Description

Merging of mixture components for model-based automated gating of flow cytometry data using the flowClust framework. Note: users should have a working copy of flowClust 2.0 installed.

Copy Link

Version

Version

2.20.0

License

Artistic-2.0

Maintainer

Last Published

February 15th, 2017

Functions in flowMerge (2.20.0)

fitPiecewiseLinreg-methods

Methods for fitPiecewiseLinreg in flowMerge package
checkForRemoteErrors

Check output of snow clusters for errors
mergeClusters2

Cluster merging not meant to be called by the user
NENT

Extract the Normalized Entropy
flowClust.res

A flowClust model fitted to the rituximab data for 1:10 clusters.
flagOutliers

Update the flagOutliers slot in a flowMerge object
merge

Merge clusters in flow cytometry data
mergeClusters

Cluster merging not meant to be called by the user
flowMerge-package

Merging of mixture components for automated gating of flow cytometry data.
map

Map matrix of probabilities to class assignments.
flowObj-class

Class "flowObj"
merge-methods

Merge mixture components
plot-methods

Methods for plotting flowMerge and flowObj classes
ptree

Generate a Function to Plot The Merging Tree
flowObj

Create a flowObj object from a flowClust and flowFrame object
initPFlowMerge

Initialize a SNOW cluster for use with flowMerge
summary-methods

Summary methods for flowMerge
updateU

Update uncertainties
fitPiecewiseLinreg

Fit Piecewise Linear Regression for a list of flowMerge Objects
flagOutliers-methods

Methods to update the flagOutliers slot in a flowMerge object.
pFlowMerge

Parellel call to flowMerge
pFlowClust

Parallelized FlowClust
show-methods

Describe a flowObj or flowMerge object
split-methods

Split data in a flowMerge object by cluster
flowMerge-class

Class "flowMerge"
flowMerge-internal

Internal flowMerge functions