Multi-view multichannel attention graph convolutional network for miRNA–disease association prediction

X Tang, J Luo, C Shen, Z Lai - Briefings in Bioinformatics, 2021 - academic.oup.com
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 …

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 …

PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features

C Yan, G Duan, N Li, L Zhang, FX Wu, J Wang - Bioinformatics, 2022 - academic.oup.com
Motivation Many studies have shown that microRNAs (miRNAs) play a key role in human
diseases. Meanwhile, traditional experimental methods for miRNA–disease association …

Variational graph auto-encoders for miRNA-disease association prediction

Y Ding, LP Tian, X Lei, B Liao, FX Wu - Methods, 2021 - Elsevier
Cumulative experimental studies have demonstrated the critical roles of microRNAs
(miRNAs) in the diverse fundamental and important biological processes, and in the …

[HTML][HTML] Hierarchical graph attention network for miRNA-disease association prediction

Z Li, T Zhong, D Huang, ZH You, R Nie - Molecular Therapy, 2022 - cell.com
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 …

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 …

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

J Li, S Zhang, T Liu, C Ning, Z Zhang, W Zhou - Bioinformatics, 2020 - academic.oup.com
Motivation Predicting the association between microRNAs (miRNAs) and diseases plays an
import role in identifying human disease-related miRNAs. As identification of miRNA …

ELLPMDA: ensemble learning and link prediction for miRNA-disease association prediction

X Chen, Z Zhou, Y Zhao - RNA biology, 2018 - Taylor & Francis
Recently, accumulating evidences have indicated miRNAs play critical roles in the
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 …

A learning-based framework for miRNA-disease association identification using neural networks

J Peng, W Hui, Q Li, B Chen, J Hao, Q Jiang… - …, 2019 - academic.oup.com
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 …