Matches in SemOpenAlex for { <https://semopenalex.org/work/W4302013308> ?p ?o ?g. }
- W4302013308 abstract "Abstract In recent years, many studies have illustrated the significant role that non-coding RNA (ncRNA) plays in biological activities, in which lncRNA, miRNA and especially their interactions have been proved to affect many biological processes. Some in silico methods have been proposed and applied to identify novel lncRNA–miRNA interactions (LMIs), but there are still imperfections in their RNA representation and information extraction approaches, which imply there is still room for further improving their performances. Meanwhile, only a few of them are accessible at present, which limits their practical applications. The construction of a new tool for LMI prediction is thus imperative for the better understanding of their relevant biological mechanisms. This study proposed a novel method, ncRNAInter, for LMI prediction. A comprehensive strategy for RNA representation and an optimized deep learning algorithm of graph neural network were utilized in this study. ncRNAInter was robust and showed better performance of 26.7% higher Matthews correlation coefficient than existing reputable methods for human LMI prediction. In addition, ncRNAInter proved its universal applicability in dealing with LMIs from various species and successfully identified novel LMIs associated with various diseases, which further verified its effectiveness and usability. All source code and datasets are freely available at https://github.com/idrblab/ncRNAInter." @default.
- W4302013308 created "2022-10-06" @default.
- W4302013308 creator A5006526421 @default.
- W4302013308 creator A5007119248 @default.
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- W4302013308 creator A5045473616 @default.
- W4302013308 creator A5047043274 @default.
- W4302013308 creator A5053361327 @default.
- W4302013308 creator A5076458955 @default.
- W4302013308 date "2022-10-04" @default.
- W4302013308 modified "2023-10-13" @default.
- W4302013308 title "ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA" @default.
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