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Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry data

Lookup NU author(s): Professor Julie Irving

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Abstract

Flow cytometry is a valuable tool in research and diagnostics including minimal residual disease (MRD) monitoring of hematologic malignancies. However, its gradual advancement toward increasing numbers of fluorescent parameters leads to information rich datasets, which are challenging to analyze by standard gating and do not reflect the multidimensionality of the data.


Publication metadata

Author(s): Fiser K, Sieger T, Schumich A, Wood B, Irving J, Mejstrikova E, Dworzak MN

Publication type: Article

Publication status: Published

Journal: Cytometry Part A

Year: 2012

Volume: 81A

Issue: 1

Pages: 25-34

Print publication date: 11/10/2011

ISSN (print): 1552-4922

ISSN (electronic): 1552-4930

Publisher: John Wiley & Sons, Inc.

URL: http://dx.doi.org/10.1002/cyto.a.21148

DOI: 10.1002/cyto.a.21148


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