Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017 (2017), Article ID 9631282, 11 pages
https://doi.org/10.1155/2017/9631282
Research Article

ExCNVSS: A Noise-Robust Method for Copy Number Variation Detection in Whole Exome Sequencing Data

1Department of Computer Engineering, Hallym University, Chuncheon, Republic of Korea
2Smart Computing Lab, Hallym University, Chuncheon, Republic of Korea
3Department of Electronic Engineering, Kyonggi University, Suwon, Republic of Korea
4Department of Electronic Engineering, Hallym University, Chuncheon, Republic of Korea

Correspondence should be addressed to Unjoo Lee; rk.ca.myllah@eelje and Jeehee Yoon; rk.ca.myllah@nooyhj

Received 20 February 2017; Revised 4 May 2017; Accepted 21 May 2017; Published 18 June 2017

Academic Editor: Marco Fichera

Copyright © 2017 Jinhwa Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jinhwa Kong, Jaemoon Shin, Jungim Won, Keonbae Lee, Unjoo Lee, and Jeehee Yoon, “ExCNVSS: A Noise-Robust Method for Copy Number Variation Detection in Whole Exome Sequencing Data,” BioMed Research International, vol. 2017, Article ID 9631282, 11 pages, 2017. doi:10.1155/2017/9631282