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dc.contributor.authorYuan, Yuchen
dc.contributor.authorShi, Yi
dc.contributor.authorSu, Xianbin
dc.contributor.authorZou, Xin
dc.contributor.authorLuo, Qing
dc.contributor.authorFeng, Dagan
dc.contributor.authorCai, Weidong
dc.contributor.authorHan, Ze-Guang
dc.date.accessioned2019-06-25
dc.date.available2019-06-25
dc.date.issued2018-08-13
dc.identifier.citationYuchen 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-zen_AU
dc.identifier.urihttp://hdl.handle.net/2123/20609
dc.language.isoen_AUen_AU
dc.publisherBMCen_AU
dc.relationARC DP170104304en_AU
dc.rights"© 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"en_AU
dc.titleCancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networksen_AU
dc.typeArticleen_AU
dc.identifier.doihttps://doi.org/10.1186/s12864-018-4919-z
dc.type.pubtypePublisher versionen_AU


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