Method and system for analysis of flow cytometry data using support vector machines
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United States of America Patent
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Mar 25, 2014
Grant Date -
Aug 13, 2009
app pub date -
Feb 8, 2009
filing date -
Feb 8, 2008
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Abstract
An automated method and system are provided for receiving an input of flow cytometry data and analyzing the data using one or more support vector machines to generate an output in which the flow cytometry data is classified into two or more categories. The one or more support vector machines utilize a kernel that captures distributional data within the input data. Such a distributional kernel is constructed by using a distance function (divergence) between two distributions. In the preferred embodiment, a kernel based upon the Bhattacharyya affinity is used. The distributional kernel is applied to classification of flow cytometry data obtained from patients suspected having myelodysplastic syndrome.
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