A Survey of Flow Cytometry Data Analysis Methods
Joint Authors
Bashashati, Ali
Brinkman, Ryan R.
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-12-06
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Flow cytometry (FCM) is widely used in health research and in treatment for a variety of tasks, such as in the diagnosis and monitoring of leukemia and lymphoma patients, providing the counts of helper-T lymphocytes needed to monitor the course and treatment of HIV infection, the evaluation of peripheral blood hematopoietic stem cell grafts, and many other diseases.
In practice, FCM data analysis is performed manually, a process that requires an inordinate amount of time and is error-prone, nonreproducible, nonstandardized, and not open for re-evaluation, making it the most limiting aspect of this technology.
This paper reviews state-of-the-art FCM data analysis approaches using a framework introduced to report each of the components in a data analysis pipeline.
Current challenges and possible future directions in developing fully automated FCM data analysis tools are also outlined.
American Psychological Association (APA)
Bashashati, Ali& Brinkman, Ryan R.. 2009. A Survey of Flow Cytometry Data Analysis Methods. Advances in Bioinformatics،Vol. 2009, no. 2009, pp.1-19.
https://search.emarefa.net/detail/BIM-482775
Modern Language Association (MLA)
Bashashati, Ali& Brinkman, Ryan R.. A Survey of Flow Cytometry Data Analysis Methods. Advances in Bioinformatics No. 2009 (2009), pp.1-19.
https://search.emarefa.net/detail/BIM-482775
American Medical Association (AMA)
Bashashati, Ali& Brinkman, Ryan R.. A Survey of Flow Cytometry Data Analysis Methods. Advances in Bioinformatics. 2009. Vol. 2009, no. 2009, pp.1-19.
https://search.emarefa.net/detail/BIM-482775
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482775