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

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Bibliographic Details
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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ISSN:1471-2105
DOI:10.1186/s12859-022-04715-w