A novel circRNA-miRNA association prediction model based on structural deep neural network embedding
Published 2022 View Full Article
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Title
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume 23, Issue 5, Pages -
Publisher
Oxford University Press (OUP)
Online
2022-09-11
DOI
10.1093/bib/bbac391
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- (2017) Ivano Legnini et al. MOLECULAR CELL
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- Circular RNAs: diversity of form and function
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- (2013) Sebastian Memczak et al. NATURE
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