A novel stationary wavelet denoising algorithm for array-based DNA Copy Number data
by Yuhang Wang, Siling Wang
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 3, No. 2, 2007

Abstract: High-throughput microarrays have recently been developed to detect DNA Copy Number (DCN) aberrations. The resulting DCN data is often very noisy. Previous denoising methods proposed for DCN data assumed uniform spacing between adjacent probes, which is not true and can potentially result in erroneous output. To address this issue, we developed a novel stationary wavelet denoising scheme for DCN data. Empirical results on synthetic data showed that our method outperformed the best previous method by 4.6–12.7% in terms of the root mean squared error. Experiments on a real data set also confirmed the applicability of our method.

Online publication date: Wed, 09-May-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com