title: Clustering mass spectrometry data using order statistics.
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.
authors.affiliation: Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg 24061, USA. slotta@csgrad.cs.vt.edu
authors.forename: Douglas J
authors.initials: DJ
authors.lastname: Slotta
authors.forename: Lenwood S
authors.initials: LS
authors.lastname: Heath
authors.forename: Naren
authors.initials: N
authors.lastname: Ramakrishnan
authors.forename: Rich
authors.initials: R
authors.lastname: Helm
authors.forename: Malcolm
authors.initials: M
authors.lastname: Potts
mesh_terms: D013058:Mass Spectrometry / Q000379:methods / Q000706:statistics & numerical data*; D010455:Peptides / Q000032:analysis*; D025341:Principal Component Analysis
chemical_list: D010455:Peptides