Circular RNAs and complex diseases: from experimental results to computational models
Circular RNAs (circRNAs) are a class of single-stranded, covalently closed RNA molecules
with a variety of biological functions. Studies have shown that circRNAs are involved in a …
with a variety of biological functions. Studies have shown that circRNAs are involved in a …
Deep learning models for disease-associated circRNA prediction: a review
Emerging evidence indicates that circular RNAs (circRNAs) can provide new insights and
potential therapeutic targets for disease diagnosis and treatment. However, traditional …
potential therapeutic targets for disease diagnosis and treatment. However, traditional …
[HTML][HTML] Network learning for biomarker discovery
Everything is connected and thus networks are instrumental in not only modeling complex
systems with many components, but also accommodating knowledge about their …
systems with many components, but also accommodating knowledge about their …
MPCLCDA: predicting circRNA–disease associations by using automatically selected meta-path and contrastive learning
W Liu, T Tang, X Lu, X Fu, Y Yang… - Briefings in …, 2023 - academic.oup.com
Circular RNA (circRNA) is closely associated with human diseases. Accordingly, identifying
the associations between human diseases and circRNA can help in disease prevention …
the associations between human diseases and circRNA can help in disease prevention …
A comprehensive survey on computational methods of non-coding RNA and disease association prediction
The studies on relationships between non-coding RNAs and diseases are widely carried out
in recent years. A large number of experimental methods and technologies of producing …
in recent years. A large number of experimental methods and technologies of producing …
IGNSCDA: predicting CircRNA-disease associations based on improved graph convolutional network and negative sampling
Accumulating evidences have shown that circRNA plays an important role in human
diseases. It can be used as potential biomarker for diagnose and treatment of disease …
diseases. It can be used as potential biomarker for diagnose and treatment of disease …
Predicting CircRNA disease associations using novel node classification and link prediction models on graph convolutional networks
Accumulated studies have discovered that circular RNAs (CircRNAs) are closely related to
many complex human diseases. Due to this close relationship, CircRNAs can be used as …
many complex human diseases. Due to this close relationship, CircRNAs can be used as …
Benchmarking of computational methods for predicting circRNA-disease associations
Accumulating evidences demonstrate that circular RNA (circRNA) plays an important role in
human diseases. Identification of circRNA-disease associations can help for the diagnosis of …
human diseases. Identification of circRNA-disease associations can help for the diagnosis of …
THGNCDA: circRNA–disease association prediction based on triple heterogeneous graph network
Y Guo, M Yi - Briefings in Functional Genomics, 2023 - academic.oup.com
Circular RNAs (circRNAs) are a class of noncoding RNA molecules featuring a closed
circular structure. They have been proved to play a significant role in the reduction of many …
circular structure. They have been proved to play a significant role in the reduction of many …
[HTML][HTML] Prioritizing CircRNA–disease associations with convolutional neural network based on multiple similarity feature fusion
Accumulating evidence shows that circular RNAs (circRNAs) have significant roles in human
health and in the occurrence and development of diseases. Biological researchers have …
health and in the occurrence and development of diseases. Biological researchers have …