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BioMed Research International
Volume 2017, Article ID 6375059, 8 pages
https://doi.org/10.1155/2017/6375059
Research Article

CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks

Department of Computer Science and Technology, Beijing University of Chemical Technology, Beijing, China

Correspondence should be addressed to Cheng Ling; nc.ude.tcub@gnehcgnil and Jingyang Gao; nc.ude.tcub.liam@yjoag

Received 29 December 2016; Revised 3 April 2017; Accepted 12 April 2017; Published 28 May 2017

Academic Editor: Jialiang Yang

Copyright © 2017 Jing Wang 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

Jing Wang, Cheng Ling, and Jingyang Gao, “CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks,” BioMed Research International, vol. 2017, Article ID 6375059, 8 pages, 2017. https://doi.org/10.1155/2017/6375059.