A flexible rank-based framework for detecting copy number aberrations from array data.

ABSTRACT:

Motivation

DNA copy number aberration--both inherited and sporadic--is a significant contributor to a variety of human diseases. Copy number characterization is therefore an area of intense research. Probe hybridization-based arrays are important tools used to measure copy number in a high-throughput manner.

Results

In this article, we present a simple but powerful nonparametric rank-based approach to detect deletions and gains from raw array copy number measurements. We use three different rank-based statistics to detect three separate molecular phenomena-somatic lesions, germline deletions and germline gains. The approach is robust and rigorously grounded in statistical theory, thereby enabling the meaningful assignment of statistical significance to each putative aberrati

SUBMITTER: LaFramboise T 

PROVIDER: S-EPMC2732300 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature