Clustering mass spectrometry data using order statistics

Douglas J Slotta; Lenwood S Heath; Naren Ramakrishnan; Rich Helm; Malcolm Potts

doi:10.1002/pmic.200300517

Clustering mass spectrometry data using order statistics

Proteomics. 2003 Sep;3(9):1687-91. doi: 10.1002/pmic.200300517.

Authors

Douglas J Slotta¹, Lenwood S Heath, Naren Ramakrishnan, Rich Helm, Malcolm Potts

Affiliation

¹ Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg 24061, USA. [email protected]

PMID: 12973726
DOI: 10.1002/pmic.200300517

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.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Mass Spectrometry / methods
Mass Spectrometry / statistics & numerical data*
Peptides / analysis*
Principal Component Analysis

Substances

Peptides