A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
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 …
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 …
sponges of microRNAs, interacting with miRNAs to regulate gene expression levels, thereby …
NGCICM: a novel deep learning-based method for predicting circRNA-miRNA interactions
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 …
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
Connections between circular RNAs (circRNAs) and microRNAs (miRNAs) assume a pivotal
position in the onset, evolution, diagnosis and treatment of diseases and tumors. Selecting …
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
Emerging evidence has revealed that circular RNA (circRNA) is widely distributed in
mammalian cells and functions as microRNA (miRNA) sponges involved in transcriptional …
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
A key regulatory mechanism involves circular RNA (circRNA) acting as a sponge to
modulate microRNA (miRNA), and thus, studying their interaction has significant medical …
modulate microRNA (miRNA), and thus, studying their interaction has significant medical …
GCNCMI: a graph convolutional neural network approach for predicting circRNA-miRNA interactions
The interactions between circular RNAs (circRNAs) and microRNAs (miRNAs) have been
shown to alter gene expression and regulate genes on diseases. Since traditional …
shown to alter gene expression and regulate genes on diseases. Since traditional …
Biolinguistic graph fusion model for circRNA–miRNA association prediction
Emerging clinical evidence suggests that sophisticated associations with circular ribonucleic
acids (RNAs)(circRNAs) and microRNAs (miRNAs) are a critical regulatory factor of various …
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
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 …
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
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 …
the interaction of microRNAs has been closely associated with the expression of circular …
相关搜索
- interaction prediction circrna mirna
- interaction prediction association networks
- association networks circrna mirna
- interaction prediction noise reduction
- noise reduction circrna mirna
- association networks noise reduction
- information extraction mirna interactions
- denoising autoencoder circrna mirna
- mirna associations feature representation
- interaction prediction auto encoder
- auto encoder circrna mirna
- interaction prediction variational graph
- variational graph circrna mirna
- value decomposition circrna mirna
- deep learning mirna interactions
- mirna associations neighborhood information