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CDCOCA: A statistical method to define complexity dependence of co-occuring chromosomal aberrations


Kumar, N; Rehrauer, H; Cai, H; Baudis, M (2011). CDCOCA: A statistical method to define complexity dependence of co-occuring chromosomal aberrations. BMC Medical Genomics, 4(21):Online.

Abstract

We have developed a method to detect associations of regional copy number abnormalities in cancer data. Along with finding statistically relevant CNA co-occurrences, our algorithm points towards a generally low specificity for co-occurrence of regional imbalances in CNA rich samples, which may have negative impact on pathway modeling approaches relying on frequent CNA events.

We have developed a method to detect associations of regional copy number abnormalities in cancer data. Along with finding statistically relevant CNA co-occurrences, our algorithm points towards a generally low specificity for co-occurrence of regional imbalances in CNA rich samples, which may have negative impact on pathway modeling approaches relying on frequent CNA events.

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2 citations in Web of Science®
2 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Functional Genomics Center Zurich
07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:3 March 2011
Deposited On:24 Mar 2011 13:59
Last Modified:05 Apr 2016 14:53
Publisher:BioMed Central
ISSN:1755-8794
Publisher DOI:10.1186/1755-8794-4-21
PubMed ID:21371302
Permanent URL: http://doi.org/10.5167/uzh-47742

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