Automatic Clustering of Flow Cytometry Data with Density-Based Merging
Joint Authors
Meehan, Stephen
Moore, Wayne
Parks, David
Herzenberg, Leonore
Walther, Guenther
Zimmerman, Noah
Pan, Jinhui
Belitskaya, Ilana
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-11-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has made this technology ubiquitous and indispensable in the clinical and laboratory setting.
A current limit to the potential of this technology is the lack of automated tools for analyzing the resulting data.
We describe methodology and software to automatically identify cell populations in flow cytometry data.
Our approach advances the paradigm of manually gating sequential two-dimensional projections of the data to a procedure that automatically produces gates based on statistical theory.
Our approach is nonparametric and can reproduce nonconvex subpopulations that are known to occur in flow cytometry samples, but which cannot be produced with current parametric model-based approaches.
We illustrate the methodology with a sample of mouse spleen and peritoneal cavity cells.
American Psychological Association (APA)
Walther, Guenther& Zimmerman, Noah& Moore, Wayne& Parks, David& Meehan, Stephen& Belitskaya, Ilana…[et al.]. 2009. Automatic Clustering of Flow Cytometry Data with Density-Based Merging. Advances in Bioinformatics،Vol. 2009, no. 2009, pp.1-7.
https://search.emarefa.net/detail/BIM-490574
Modern Language Association (MLA)
Walther, Guenther…[et al.]. Automatic Clustering of Flow Cytometry Data with Density-Based Merging. Advances in Bioinformatics No. 2009 (2009), pp.1-7.
https://search.emarefa.net/detail/BIM-490574
American Medical Association (AMA)
Walther, Guenther& Zimmerman, Noah& Moore, Wayne& Parks, David& Meehan, Stephen& Belitskaya, Ilana…[et al.]. Automatic Clustering of Flow Cytometry Data with Density-Based Merging. Advances in Bioinformatics. 2009. Vol. 2009, no. 2009, pp.1-7.
https://search.emarefa.net/detail/BIM-490574
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490574