immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

Description

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

The immunoClust-pipeline consits of two major procedures:

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

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).

Results