By Topic

DNA Copy Number Detection and Sigma Filter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Alqallaf, A.K. ; Univ. of Minnesota, Minneapolis ; Tewfik, A.H.

DNA copy number aberrations are characteristic of many genomic diseases including cancer. Microrray-based comparative genomic hybridization (aCGH) is a recently developed high-throughput technique to map and detect DNA copy number (DCN) aberrations. Unfortunately, the observed copy number changes are corrupted by noise, making aberration boundaries hard to detect. They may have false positive or may miss true positive breakpoints. As a result, many approaches proposed to eliminate fluctuations on the DCN data within each aberrant interval and to preserve edges across them. In this paper, we propose a Sigma filter algorithm, because it has superior performance for denoising such data and low computational complexity. We present a comparison study between our approach and other smoothing and statistical approaches, the wavelet-based, LookAhead, CGH segmentation and HMM. Finally, we provide examples using real data sets to illustrate the performance of the algorithms.

Published in:

Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on

Date of Conference:

10-12 June 2007