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Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring

Toedling, J., Rhein, P., Ratei, R., Karawajew, L. and Spang, Rainer (2006) Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring. BMC Bioinformatics 7, p. 282.

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Date of publication of this fulltext: 19 Aug 2016 13:28

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Other URL: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-7-282


Abstract

BACKGROUND: Identification of minor cell populations, e.g. leukemic blasts within blood samples, has become increasingly important in therapeutic disease monitoring. Modern flow cytometers enable researchers to reliably measure six and more variables, describing cellular size, granularity and expression of cell-surface and intracellular proteins, for thousands of cells per second. Currently, ...

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Item type:Article
Date:5 June 2006
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
ValueType
16753055PubMed ID
10.1186/1471-2105-7-282DOI
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:No
Item ID:34390
Owner only: item control page

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