Clustering mass spectrometry data using order statistics
Douglas J Slotta1, Lenwood S Heath, Naren Ramakrishnan
1Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg 24061, USA. slotta@csgrad.cs.vt.edu
Abstract:
Mass spectrometry data is inherently uncertain. Rather than compare peak heights across samples, a comparison can be made of the relative ordering of the peak height across samples. Order statistics are used to provide a distance metric between each ordered list of peak heights from the samples. A principal component analysis is performed on the set of distance vectors to highlight to important components.
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