GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
Lei LiYu-Tian WangCunmei JiChun-Hou ZhengJian-Cheng NiYan-Sen SuPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- gene expression
- gene function
- computational methods
- gene ontology
- secondary structure
- gene sets
- genome wide
- binding sites
- restricted boltzmann machine
- regulatory networks
- microarray data analysis
- association rules
- microarray
- textual information
- protein interaction
- biological processes
- deep learning
- gene expression data
- information theoretic
- expression profiles
- biological knowledge
- gene regulation
- co occurrence
- data sets
- genome wide association studies