MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.
Haisong FengYing XiangXiaosong WangWei XueZhenyu YuePublished in: BMC Bioinform. (2022)
Keyphrases
- neural network
- gene expression
- secondary structure
- computational methods
- gene ontology
- regulatory networks
- genome wide
- microarray data analysis
- binding sites
- random walk
- association rules
- gene regulation
- network model
- biological processes
- graph mining
- microarray
- gene selection
- self organizing maps
- co occurrence
- gene sets
- data sets