A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks

XF Wang, CQ Yu, ZH You, LP Li… - Briefings in …, 2023 - academic.oup.com
Motivation A large number of studies have shown that circular RNA (circRNA) affects
biological processes by competitively binding miRNA, providing a new perspective for the …

Prediction of circRNA-miRNA association using singular value decomposition and graph neural networks

Y Qian, J Zheng, Y Jiang, S Li… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
A large number of experimental studies have shown that circRNAs can act as molecular
sponges of microRNAs, interacting with miRNAs to regulate gene expression levels, thereby …

NGCICM: a novel deep learning-based method for predicting circRNA-miRNA interactions

Z Ma, Z Kuang, L Deng - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
The circRNAs and miRNAs play an important role in the development of human diseases,
and they can be widely used as biomarkers of diseases for disease diagnosis. In particular …

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

LX Guo, L Wang, ZH You, CQ Yu, ML Hu… - Briefings in …, 2024 - academic.oup.com
Connections between circular RNAs (circRNAs) and microRNAs (miRNAs) assume a pivotal
position in the onset, evolution, diagnosis and treatment of diseases and tumors. Selecting …

KGDCMI: a new approach for predicting circRNA–miRNA interactions from multi-source information extraction and deep learning

XF Wang, CQ Yu, LP Li, ZH You, WZ Huang… - Frontiers in …, 2022 - frontiersin.org
Emerging evidence has revealed that circular RNA (circRNA) is widely distributed in
mammalian cells and functions as microRNA (miRNA) sponges involved in transcriptional …

Predicting circRNA-miRNA interactions utilizing transformer-based RNA sequential learning and high-order proximity preserved embedding

J Zhou, X Wang, R Niu, X Shang, J Wen - Iscience, 2024 - cell.com
A key regulatory mechanism involves circular RNA (circRNA) acting as a sponge to
modulate microRNA (miRNA), and thus, studying their interaction has significant medical …

GCNCMI: a graph convolutional neural network approach for predicting circRNA-miRNA interactions

J He, P Xiao, C Chen, Z Zhu, J Zhang, L Deng - Frontiers in Genetics, 2022 - frontiersin.org
The interactions between circular RNAs (circRNAs) and microRNAs (miRNAs) have been
shown to alter gene expression and regulate genes on diseases. Since traditional …

Biolinguistic graph fusion model for circRNA–miRNA association prediction

LX Guo, L Wang, ZH You, CQ Yu, ML Hu… - Briefings in …, 2024 - academic.oup.com
Emerging clinical evidence suggests that sophisticated associations with circular ribonucleic
acids (RNAs)(circRNAs) and microRNAs (miRNAs) are a critical regulatory factor of various …

KS-CMI: a circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder

XF Wang, CQ Yu, ZH You, Y Qiao, ZW Li, WZ Huang… - Iscience, 2023 - cell.com
Circular RNA (circRNA) plays an important role in the diagnosis, treatment, and prognosis of
human diseases. The discovery of potential circRNA-miRNA interactions (CMI) is of guiding …

DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information

YC Li, ZH You, CQ Yu, L Wang, L Hu… - Briefings in …, 2024 - academic.oup.com
Recently, the role of competing endogenous RNAs in regulating gene expression through
the interaction of microRNAs has been closely associated with the expression of circular …