Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations

Abstract Connections between circular RNAs (circRNAs) and microRNAs (miRNAs) assume a pivotal position in the onset, evolution, diagnosis and treatment of diseases and tumors. Selecting the most potential circRNA-related miRNAs and taking advantage of them as the biological markers or drug targets c...

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Bibliographic Details
Published in:Briefings in bioinformatics 2024-01, Vol.25 (2)
Main Authors: Guo, Lu-Xiang, Wang, Lei, You, Zhu-Hong, Yu, Chang-Qing, Hu, Meng-Lei, Zhao, Bo-Wei, Li, Yang
Format: Article
Language:English
Subjects:
Artificial neural networks
Biological computing
Biomarkers
Circular RNA
Computational Biology - methods
Computer applications
Humans
Likelihood Functions
Machine learning
Mathematical models
Medical treatment
MicroRNAs
MicroRNAs - genetics
miRNA
Neoplasms - genetics
Neural networks
Neural Networks, Computer
Problem Solving Protocol
Representation learning
RNA, Circular - genetics
Spatial data
Therapeutic targets
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