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MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model.

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Title: MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model.
Authors: Liang Y; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China., Zhang ZQ; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China., Liu NN; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China., Wu YN; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China., Gu CL; College of Information Science and Engineering, Hunan University, Changsha, China., Wang YL; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China. wangyl@jxau.edu.cn.
Source: BMC bioinformatics [BMC Bioinformatics] 2022 May 19; Vol. 23 (1), pp. 189. Date of Electronic Publication: 2022 May 19.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model.
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  Data: <searchLink fieldCode="AU" term="%22Liang+Y%22">Liang Y</searchLink>; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Zhang+ZQ%22">Zhang ZQ</searchLink>; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Liu+NN%22">Liu NN</searchLink>; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Wu+YN%22">Wu YN</searchLink>; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Gu+CL%22">Gu CL</searchLink>; College of Information Science and Engineering, Hunan University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Wang+YL%22">Wang YL</searchLink>; College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China. wangyl@jxau.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22100965194%22">BMC bioinformatics</searchLink> [BMC Bioinformatics] 2022 May 19; Vol. 23 (1), pp. 189. <i>Date of Electronic Publication: </i>2022 May 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100965194 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2105 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712105%22">14712105 </searchLink><i>NLM ISO Abbreviation: </i>BMC Bioinformatics <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12859-022-04715-w
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        Text: English
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              Text: 2022 May 19
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