Class similarity network for coding and long non-coding RNA classification
Long non-coding RNAs (lncRNAs) play significant roles in varieties of physiological and pathological processes.The premise of the lncRNA functional study is that the lncRNAs are identified correctly. Recently, deep learning method like convolutional neural network (CNN) has been successfully applied...
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sg-ntu-dr.10356-1601632022-07-14T01:53:13Z Class similarity network for coding and long non-coding RNA classification Zhang, Yu Long, Yahui Kwoh, Chee Keong School of Computer Science and Engineering Engineering::Computer science and engineering Long Non-Coding RNA mRNA Long non-coding RNAs (lncRNAs) play significant roles in varieties of physiological and pathological processes.The premise of the lncRNA functional study is that the lncRNAs are identified correctly. Recently, deep learning method like convolutional neural network (CNN) has been successfully applied to identify the lncRNAs. However, the traditional CNN considers little relationships among samples via an indirect way. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Published version Publication costs are founded by A*STAR-NTU-SUTD Al Partnership [RGANS1905], Singapore Ministry of Education Academic Research Fund Tier 1 [2020-T1-001-130(RG15/20)], and Singapore Ministry of Education Academic Research Fund Tier 2 [MOE2019-T2-2-175]. 2022-07-14T01:53:13Z 2022-07-14T01:53:13Z 2021 Journal Article Zhang, Y., Long, Y. & Kwoh, C. K. (2021). Class similarity network for coding and long non-coding RNA classification. BMC Bioinformatics, 22(1), 609-. https://dx.doi.org/10.1186/s12859-021-04517-6 1471-2105 https://hdl.handle.net/10356/160163 10.1186/s12859-021-04517-6 34930120 2-s2.0-85121447010 1 22 609 en RGANS1905 2020-T1-001-130 (RG15/20) MOE2019-T2-2-175 BMC Bioinformatics © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publi cdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. application/pdf |
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Nanyang Technological University |
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Asia |
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Singapore Singapore |
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| language |
English |
| topic |
Engineering::Computer science and engineering Long Non-Coding RNA mRNA |
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Engineering::Computer science and engineering Long Non-Coding RNA mRNA Zhang, Yu Long, Yahui Kwoh, Chee Keong Class similarity network for coding and long non-coding RNA classification |
| description |
Long non-coding RNAs (lncRNAs) play significant roles in varieties of physiological and pathological processes.The premise of the lncRNA functional study is that the lncRNAs are identified correctly. Recently, deep learning method like convolutional neural network (CNN) has been successfully applied to identify the lncRNAs. However, the traditional CNN considers little relationships among samples via an indirect way. |
| author2 |
School of Computer Science and Engineering |
| author_facet |
School of Computer Science and Engineering Zhang, Yu Long, Yahui Kwoh, Chee Keong |
| format |
Article |
| author |
Zhang, Yu Long, Yahui Kwoh, Chee Keong |
| author_sort |
Zhang, Yu |
| title |
Class similarity network for coding and long non-coding RNA classification |
| title_short |
Class similarity network for coding and long non-coding RNA classification |
| title_full |
Class similarity network for coding and long non-coding RNA classification |
| title_fullStr |
Class similarity network for coding and long non-coding RNA classification |
| title_full_unstemmed |
Class similarity network for coding and long non-coding RNA classification |
| title_sort |
class similarity network for coding and long non-coding rna classification |
| publishDate |
2022 |
| url |
https://hdl.handle.net/10356/160163 |
| _version_ |
1738844913612619776 |