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September 2012 Matching markers and unlabeled configurations in protein gels
Kanti V. Mardia, Emma M. Petty, Charles C. Taylor
Ann. Appl. Stat. 6(3): 853-869 (September 2012). DOI: 10.1214/12-AOAS544

Abstract

Unlabeled shape analysis is a rapidly emerging and challenging area of statistics. This has been driven by various novel applications in bioinformatics. We consider here the situation where two configurations are matched under various constraints, namely, the configurations have a subset of manually located “markers” with high probability of matching each other while a larger subset consists of unlabeled points. We consider a plausible model and give an implementation using the EM algorithm. The work is motivated by a real experiment of gels for renal cancer and our approach allows for the possibility of missing and misallocated markers. The methodology is successfully used to automatically locate and remove a grossly misallocated marker within the given data set.

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Kanti V. Mardia. Emma M. Petty. Charles C. Taylor. "Matching markers and unlabeled configurations in protein gels." Ann. Appl. Stat. 6 (3) 853 - 869, September 2012. https://doi.org/10.1214/12-AOAS544

Information

Published: September 2012
First available in Project Euclid: 31 August 2012

zbMATH: 06096513
MathSciNet: MR3012512
Digital Object Identifier: 10.1214/12-AOAS544

Keywords: Electrophoresis , shape , Western Blots

Rights: Copyright © 2012 Institute of Mathematical Statistics

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Vol.6 • No. 3 • September 2012
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