Literature DB >> 12973726

Clustering mass spectrometry data using order statistics.

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

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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Year:  2003        PMID: 12973726     DOI: 10.1002/pmic.200300517

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Processing MALDI Mass Spectra to Improve Mass Spectral Direct Tissue Analysis.

Authors:  Jeremy L Norris; Dale S Cornett; James A Mobley; Malin Andersson; Erin H Seeley; Pierre Chaurand; Richard M Caprioli
Journal:  Int J Mass Spectrom       Date:  2007-02-01       Impact factor: 1.986

2.  CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling.

Authors:  Fahad Saeed; Jason D Hoffert; Mark A Knepper
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2014 Jan-Feb       Impact factor: 3.710

3.  Characterising phase variations in MALDI-TOF data and correcting them by peak alignment.

Authors:  Simon M Lin; Richard P Haney; Michael J Campa; Michael C Fitzgerald; Edward F Patz
Journal:  Cancer Inform       Date:  2005
  3 in total

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