The Annals of Applied Statistics
- Ann. Appl. Stat.
- Volume 6, Number 3 (2012), 853-869.
Matching markers and unlabeled configurations in protein gels
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.
Ann. Appl. Stat., Volume 6, Number 3 (2012), 853-869.
First available in Project Euclid: 31 August 2012
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Mardia, Kanti V.; Petty, Emma M.; Taylor, Charles C. Matching markers and unlabeled configurations in protein gels. Ann. Appl. Stat. 6 (2012), no. 3, 853--869. doi:10.1214/12-AOAS544. https://projecteuclid.org/euclid.aoas/1346418565
- Supplementary material: Western Blot data. The supplementary data contains a zipped file which includes information taken from 28 Western Blots. This represents 8 subjects (four controls and four patients) treated with two possible treatments. A replicate image is also obtained for each subject-treatment combination, though some replicates are missing. Further details are included in the associated README file.