meta.exprs: Collecting Data of an immunoClust vector

In immunoClust: immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

Description

The function takes a vector of immunoClust-object obtained by the cell.process function and extracts ths information into a list object.

Usage

meta.exprs(exp, sub=c())

Arguments

exp	The vector of immunoClust object with the cell clustering results.
sub	A integer array indicating the parameter subset to be collected.

Value

A list object with the following slots:

P	The number of observed parameters for the cell event clusters.
N	The number of cell-clustering samples.
K	The N-dimensional vector with the numbers of cell event clusters in each experiment. The total number of clusters is sum(K).
W	The totK-dimensional vector with weights of all clusters.
M	The totK x P-dimensional matrix of all cluster means.
S	The totK x P x P-dimensional matrix of all cluster covariance matrices.
expNames	The N-dimensional vector with the experiment names of the cell clustering samples.
expEvents	The N-dimensional vector for the total number of events of the cell clustering samples.
clsEvents	The totK-dimensional vector for the event number of all clusters.
desc	The P-dimensional vector for the parameter description.

Author(s)

Till Sörensen [e-mail]

References

Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T. immunoClust - an automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets. Cytometry A (accepted).

See Also

immunoClust.

Examples

data(dat.exp)
d <- meta.exprs(dat.exp, sub=c(1,2))

immunoClust documentation built on Nov. 8, 2020, 5:19 p.m.