Cancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networks
Access status:
Open Access
Type
ArticleDate
2018-08-13Publisher
BMCLicence
"© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated"Citation
Yuchen Yuan, Yi Shi, Xianbin Su, Xin Zou, Qing Luo, David Dagan Feng, Weidong Cai, Ze-Guang Han, “Cancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networks”, BMC Genomics, 19(Suppl6):565, 2018. https://doi.org/10.1186/s12864-018-4919-zShare