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Clustering mass spectrometry data using order statistics
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DOI：10.1002/pmic.200300517.png)
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Abstract
En 中文
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.
Keywords:
mass spectrometry
order statistics
singular value decomposition