期刊
CYTOMETRY PART A
卷 87A, 期 1, 页码 86-88出版社
WILEY-BLACKWELL
DOI: 10.1002/cyto.a.22586
关键词
flow cytometry; classification; clustering; standard; software interoperability; file format; analysis interchange
资金
- NSERC [NIH/R01EB008400]
- International Society for the Advancement of Cytometry
- Wallace H. Coulter Foundation
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB008400] Funding Source: NIH RePORTER
Identifying homogenous sets of cell populations in flow cytometry is an important process for sorting and selecting populations of interests for further data acquisition and analysis. Many computational methods are now available to automate this process, with several algorithms partitioning cells based on high-dimensional separation versus the traditional pairwise two-dimensional visualization approach of manual gating. ISAC's classification results file format was developed to exchange the results of both manual gating and algorithmic classification approaches in a standardized way based on per event based classifications, including the potential for soft classifications expressed as the probability of an event being a member of a class. (c) 2014 International Society for Advancement of Cytometry
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