Double matrix completion for circRNA-disease association prediction

Double matrix completion for circRNA-disease association prediction

Background: Circular RNAs (circRNAs) are a class of single-stranded RNA molecules with a closed-loop structure. A growing body of research has shown that circRNAs are closely related to the development of diseases. Because biological experiments to verify circRNA-disease associations are time-consum...

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Bibliographic Details
Main Authors: Cao, R.-F (Author), Wei, P.-J (Author), Xia, J.-F (Author), Zheng, C.-H (Author), Zuo, Z.-L (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Association reactions
Biological experiments
circRNA-disease associations
Closed-loop structures
Disease associations
Forecasting
genetics
Interaction profiles
Leave-one-out cross validations
Matrix completion
MAtrix multiplication
normal distribution
Normal Distribution
RNA
RNA, Circular
Semantics
Sequence informations
Sequence similarity
Similarity matrix
Statistical methods
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