BCMCMI: a fusion model for predicting circRNA-miRNA interactions combining semantic and meta-path
More and more evidence suggests that circRNA plays a vital role in generating and treating
diseases by interacting with miRNA. Therefore, accurate prediction of potential circRNA …
diseases by interacting with miRNA. Therefore, accurate prediction of potential circRNA …
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 …
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 …
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution
Drug repositioning plays a key role in disease treatment. With the large-scale chemical data
increasing, many computational methods are utilized for drug–disease association …
increasing, many computational methods are utilized for drug–disease association …
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks
Abstract Circular RNA (CircRNA)–microRNA (miRNA) interaction (CMI) is an important
model for the regulation of biological processes by non-coding RNA (ncRNA), which …
model for the regulation of biological processes by non-coding RNA (ncRNA), which …
BioKG-CMI: a multi-source feature fusion model based on biological knowledge graph for predicting circRNA-miRNA interactions
Conclusion This study proposes a model named BioKG-CMI to predict CMIs based on a
biological knowledge graph. Faced with limited data, we employ subcellular localization to …
biological knowledge graph. Faced with limited data, we employ subcellular localization to …
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 …
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding
Circular RNA (circRNA)-microRNA (miRNA) interaction (CMI) plays crucial roles in cellular
regulation, offering promising perspectives for disease diagnosis and therapy. Therefore, it …
regulation, offering promising perspectives for disease diagnosis and therapy. Therefore, it …
A Hierarchical GNN Across Semantic and Topological Domains for Predicting circRNA-microRNA Interactions
J Zhou, B Ji, R Niu, X Shang, Z You - Knowledge-Based Systems, 2024 - Elsevier
Identifying circRNA-microRNA interactions (CMI) is a significant biomedical issue in recent
years. This problem provides insights into using circRNA as biomarkers, developing cancer …
years. This problem provides insights into using circRNA as biomarkers, developing cancer …
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding
Motivation Accumulating clinical evidence shows that circular RNA (circRNA) plays an
important regulatory role in the occurrence and development of human diseases, which is …
important regulatory role in the occurrence and development of human diseases, which is …