Detecting genomic aberrations using products in a multiscale analysis.

ABSTRACT: Genomic instability, such as copy-number losses and gains, occurs in many genetic diseases. Recent technology developments enable researchers to measure copy numbers at tens of thousands of markers simultaneously. In this article, we propose a nonparametric approach for detecting the locations of copy-number changes and provide a measure of significance for each change point. The proposed test is based on seeking scale-based changes in the sequence of copy numbers, which is ordered by the marker locations along the chromosome. The method leads to a natural way to estimate the null distribution for the test of a change point and adjusted p-values for the significance of a change point using a step-down maxT permutation algorithm to control the family-wise error rate. A simulation study inve

SUBMITTER: Yu X 

PROVIDER: S-EPMC2942992 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature