文章基本信息

标题：A Survey of Flow Cytometry Data Analysis Methods
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作者：Ali Bashashati ; Ryan R. Brinkman
期刊名称：Advances in Bioinformatics
印刷版ISSN：1687-8027
电子版ISSN：1687-8035
出版年度：2009
卷号：2009
DOI：10.1155/2009/584603
出版社：Hindawi Publishing Corporation
摘要：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.