Multi-view multichannel attention graph convolutional network for miRNA–disease association prediction
Motivation: In recent years, a growing number of studies have proved that microRNAs
(miRNAs) play significant roles in the development of human complex diseases. Discovering …
(miRNAs) play significant roles in the development of human complex diseases. Discovering …
Predicting miRNA–disease associations via learning multimodal networks and fusing mixed neighborhood information
Z Lou, Z Cheng, H Li, Z Teng, Y Liu… - Briefings in …, 2022 - academic.oup.com
Motivation In recent years, a large number of biological experiments have strongly shown
that miRNAs play an important role in understanding disease pathogenesis. The discovery …
that miRNAs play an important role in understanding disease pathogenesis. The discovery …
PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features
Motivation Many studies have shown that microRNAs (miRNAs) play a key role in human
diseases. Meanwhile, traditional experimental methods for miRNA–disease association …
diseases. Meanwhile, traditional experimental methods for miRNA–disease association …
Variational graph auto-encoders for miRNA-disease association prediction
Cumulative experimental studies have demonstrated the critical roles of microRNAs
(miRNAs) in the diverse fundamental and important biological processes, and in the …
(miRNAs) in the diverse fundamental and important biological processes, and in the …
[HTML][HTML] Hierarchical graph attention network for miRNA-disease association prediction
Many biological studies show that the mutation and abnormal expression of microRNAs
(miRNAs) could cause a variety of diseases. As an important biomarker for disease …
(miRNAs) could cause a variety of diseases. As an important biomarker for disease …
AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification
Q Ning, Y Zhao, J Gao, C Chen, X Li… - Briefings in …, 2023 - academic.oup.com
In recent years, many experiments have proved that microRNAs (miRNAs) play a variety of
important regulatory roles in cells, and their abnormal expression can lead to the emergence …
important regulatory roles in cells, and their abnormal expression can lead to the emergence …
Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
Motivation Predicting the association between microRNAs (miRNAs) and diseases plays an
import role in identifying human disease-related miRNAs. As identification of miRNA …
import role in identifying human disease-related miRNAs. As identification of miRNA …
ELLPMDA: ensemble learning and link prediction for miRNA-disease association prediction
Recently, accumulating evidences have indicated miRNAs play critical roles in the
progression and development of various human complex diseases, which pointed out that …
progression and development of various human complex diseases, which pointed out that …
RWRMDA: predicting novel human microRNA–disease associations
X Chen, MX Liu, GY Yan - Molecular BioSystems, 2012 - pubs.rsc.org
Recently, more and more research has shown that microRNAs (miRNAs) play critical roles
in the development and progression of various diseases, but it is not easy to predict potential …
in the development and progression of various diseases, but it is not easy to predict potential …
A learning-based framework for miRNA-disease association identification using neural networks
Motivation A microRNA (miRNA) is a type of non-coding RNA, which plays important roles in
many biological processes. Lots of studies have shown that miRNAs are implicated in …
many biological processes. Lots of studies have shown that miRNAs are implicated in …
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