Open Access
2014 Analysis of proteomics data: Block $k$-mean alignment
Mara Bernardi, Laura M. Sangalli, Piercesare Secchi, Simone Vantini
Electron. J. Statist. 8(2): 1714-1723 (2014). DOI: 10.1214/14-EJS900A


We analyze the proteomics data introducing a block $k$-mean alignment procedure. This technique is able to jointly align and cluster the data, accounting appropriately for the block structure of these data, that includes measurement repetitions for each patient. An analysis of area-under-peaks, following the alignment, separates patients who respond and those who do not respond to treatment.


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Mara Bernardi. Laura M. Sangalli. Piercesare Secchi. Simone Vantini. "Analysis of proteomics data: Block $k$-mean alignment." Electron. J. Statist. 8 (2) 1714 - 1723, 2014.


Published: 2014
First available in Project Euclid: 29 October 2014

zbMATH: 1305.62365
MathSciNet: MR3273586
Digital Object Identifier: 10.1214/14-EJS900A

Keywords: Block $k$-mean alignment , functional clustering , Proteomics data , registration

Rights: Copyright © 2014 The Institute of Mathematical Statistics and the Bernoulli Society

Vol.8 • No. 2 • 2014
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