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 proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publicationICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology
Pages305-309
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010 - Chengdu, China
Duration: Apr 16 2010Apr 18 2010

Other

Other2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010
CountryChina
CityChengdu
Period4/16/104/18/10

Fingerprint

Flow cytometry
B-Cell Chronic Lymphocytic Leukemia
Cluster Analysis
Flow Cytometry
Immunophenotyping
Servers
Software
Population

Keywords

  • Chronic lymphocytic leukemia
  • Clustering
  • Flow cytometry

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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). [5478955] 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; Goodell, Lauri.

ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology. 2010. p. 305-309 5478955.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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., 5478955, 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 Y-W, 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 https://doi.org/10.1109/ICBBT.2010.5478955
Qian, You-Wen ; Cukierski, William ; Osman, Mona ; Goodell, Lauri. / Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia. ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology. 2010. pp. 305-309
@inproceedings{98e978fade8448e68f2ce038fa3057b3,
title = "Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia",
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.",
keywords = "Chronic lymphocytic leukemia, Clustering, Flow cytometry",
author = "You-Wen Qian and William Cukierski and Mona Osman and Lauri Goodell",
year = "2010",
doi = "10.1109/ICBBT.2010.5478955",
language = "English",
isbn = "9781424467761",
pages = "305--309",
booktitle = "ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology",

}

TY - GEN

T1 - Combined multiple clusterings on flow cytometry data to automatically identify chronic lymphocytic leukemia

AU - Qian, You-Wen

AU - Cukierski, William

AU - Osman, Mona

AU - Goodell, Lauri

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Chronic lymphocytic leukemia

KW - Clustering

KW - Flow cytometry

UR - http://www.scopus.com/inward/record.url?scp=77954560130&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954560130&partnerID=8YFLogxK

U2 - 10.1109/ICBBT.2010.5478955

DO - 10.1109/ICBBT.2010.5478955

M3 - Conference contribution

SN - 9781424467761

SP - 305

EP - 309

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

ER -