On extensions of k-means clustering for automated gating of flow cytometry data
β Scribed by George Luta
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 73 KB
- Volume
- 79A
- Category
- Article
- ISSN
- 0196-4763
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## Abstract ## Background Clinical flow cytometry typically involves the sequential interpretation of twoβdimensional histograms, usually culled from six or more cellular characteristics, following initial selection (gating) of cell populations based on a different subset of these characteristics.
## Background: The coefficient of variation (CV) is often used to characterize and summarize the flow cytometry analysis of nuclear DNA of the Go/G1 peak in a cell population within an individual organism. CV values are frequently used in subsequent statistical analysis to compare experimental gro