Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia

You Wen Qian; William Cukierski; Mona Osman; Lauri Goodell

doi:10.1109/ICBBT.2010.5478955

Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia

You Wen Qian, William Cukierski, Mona Osman, Lauri Goodell

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

We described a combined multiple clustering approach to automatically identify chronic lymphocytic leukemia neoplastic population by flow cytometry immunophenotyping. Flow cytometry data from various specimens were preprocessed by data cross-linking and subset selection before undergoing subspace and consensus clustering. This approach was implemented as a Server-side application, with results comparable to those performed by manual gating on commercial software.

Original language	English (US)
Title of host publication	ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology
Pages	305-309
Number of pages	5
DOIs	https://doi.org/10.1109/ICBBT.2010.5478955
State	Published - 2010
Externally published	Yes
Event	2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010 - Chengdu, China Duration: Apr 16 2010 → Apr 18 2010

Publication series

Name	ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology

Other

Other	2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010
Country/Territory	China
City	Chengdu
Period	4/16/10 → 4/18/10

Keywords

Chronic lymphocytic leukemia
Clustering
Flow cytometry

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.1109/ICBBT.2010.5478955

Cite this

Qian, Y. W., Cukierski, W., Osman, M., & Goodell, L. (2010). Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia. In ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology (pp. 305-309). Article 5478955 (ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology). https://doi.org/10.1109/ICBBT.2010.5478955

Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia. / Qian, You Wen; Cukierski, William; Osman, Mona et al.
ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology. 2010. p. 305-309 5478955 (ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qian, YW, Cukierski, W, Osman, M & Goodell, L 2010, Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia. in ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology., 5478955, ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology, pp. 305-309, 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010, Chengdu, China, 4/16/10. https://doi.org/10.1109/ICBBT.2010.5478955

Qian YW, Cukierski W, Osman M, Goodell L. Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia. In ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology. 2010. p. 305-309. 5478955. (ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology). doi: 10.1109/ICBBT.2010.5478955

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Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia

Abstract

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Other

Keywords

ASJC Scopus subject areas

Access to Document

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