immunoClust-package: immunoClust - Automated Pipeline for Population Detection in...

Description Details Author(s) References

Description

Model based clustering and meta-custering routines for Flow Cytometry (FC) data.

The immunoClust-pipeline consits of two major procedures:

cell.process Clustering of cell-events
meta.process Meta-clustering of cell-clusters

Cell-events clustering is performed for each FC data sample separately. After this all cell-clustering results are collected in a vector and meta-clustering is performed to obtain the across samples popluations.

Details

Package: immunoClust
Type: Package
Version: 1.0.0
Depends: R(>= 2.13.0), methods, stats, graphics, grid, lattice, flowCore
Date: 2015-01-28
License: Artistic-2.0

Author(s)

Till Sörensen <till-antoni.soerensen@charited.de>

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).


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