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 …

Predicting miRNA-disease association based on neural inductive matrix completion with graph autoencoders and self-attention mechanism

C Jin, Z Shi, K Lin, H Zhang - Biomolecules, 2022 - mdpi.com
Many studies have clarified that microRNAs (miRNAs) are associated with many human
diseases. Therefore, it is essential to predict potential miRNA-disease associations for …

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 …

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 …

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 …

NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

X Chen, LG Sun, Y Zhao - Briefings in bioinformatics, 2021 - academic.oup.com
Emerging evidence shows that microRNAs (miRNAs) play a critical role in diverse
fundamental and important biological processes associated with human diseases. Inferring …

A network embedding-based multiple information integration method for the MiRNA-disease association prediction

Y Gong, Y Niu, W Zhang, X Li - BMC bioinformatics, 2019 - Springer
Background MiRNAs play significant roles in many fundamental and important biological
processes, and predicting potential miRNA-disease associations makes contributions to …

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 …

Predicting miRNA–disease association based on inductive matrix completion

X Chen, L Wang, J Qu, NN Guan, JQ Li - Bioinformatics, 2018 - academic.oup.com
Motivation It has been shown that microRNAs (miRNAs) play key roles in variety of
biological processes associated with human diseases. In Consideration of the cost and …

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 …