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] GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder
L Li, YT Wang, CM Ji, CH Zheng, JC Ni… - PLOS Computational …, 2021 - journals.plos.org
microRNAs (miRNAs) are small non-coding RNAs related to a number of complicated
biological processes. A growing body of studies have suggested that miRNAs are closely …
biological processes. A growing body of studies have suggested that miRNAs are closely …
Predicting miRNA-disease associations based on multi-view variational graph auto-encoder with matrix factorization
MicroRNAs (miRNAs) have been proved to play critical roles in diverse biological
processes, including the human disease development process. Exploring the potential …
processes, including the human disease development process. Exploring the potential …
[HTML][HTML] Predicting miRNA-disease associations based on graph attention network with multi-source information
Background There is a growing body of evidence from biological experiments suggesting
that microRNAs (miRNAs) play a significant regulatory role in both diverse cellular activities …
that microRNAs (miRNAs) play a significant regulatory role in both diverse cellular activities …
[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 …
Predicting miRNA-disease associations from miRNA-gene-disease heterogeneous network with multi-relational graph convolutional network model
W Peng, Z Che, W Dai, S Wei… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
MiRNAs are reported to be linked to the pathogenesis of human complex diseases. Disease-
related miRNAs may serve as novel bio-marks and drug targets. This work focuses on …
related miRNAs may serve as novel bio-marks and drug targets. This work focuses on …
Predicting miRNA-disease associations via node-level attention graph auto-encoder
H Zhang, J Fang, Y Sun, G Xie, Z Lin… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Previous studies have confirmed microRNA (miRNA), small single-stranded non-coding
RNA, participates in various biological processes and plays vital roles in many complex …
RNA, participates in various biological processes and plays vital roles in many complex …
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 …
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks
MicroRNAs (miRNAs) play important roles in the various pathogenesis of diseases.
However, experimental prediction of associations between microRNAs and diseases …
However, experimental prediction of associations between microRNAs and diseases …
[HTML][HTML] Prediction of potential mirna–disease associations through a novel unsupervised deep learning framework with variational autoencoder
The important role of microRNAs (miRNAs) in the formation, development, diagnosis, and
treatment of diseases has attracted much attention among researchers recently. In this study …
treatment of diseases has attracted much attention among researchers recently. In this study …
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