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 …
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 …
diseases. Therefore, it is essential to predict potential miRNA-disease associations for …
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 …
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 …
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 …
NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion
Emerging evidence shows that microRNAs (miRNAs) play a critical role in diverse
fundamental and important biological processes associated with human diseases. Inferring …
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 …
processes, and predicting potential miRNA-disease associations makes contributions to …
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 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 …
biological processes associated with human diseases. In Consideration of the cost and …
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 …
相关搜索
- matrix completion mirna disease
- neural networks mirna disease
- variational graph mirna disease
- matrix completion graph autoencoders
- sequence features disease associations
- microrna disease matrix factorization
- deep level disease associations
- auto encoders mirna disease
- self attention mirna disease
- matrix completion self attention
- matrix completion disease association
- graph autoencoders mirna disease