HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations.
Lizhi LiuHiroshi MamitsukaShanfeng ZhuPublished in: Bioinform. (2022)
Keyphrases
- protein interaction networks
- protein interaction
- predicting protein
- functional modules
- average degree
- social networks
- deep learning
- protein protein interaction networks
- protein function
- gene expression
- random walk
- protein function prediction
- bipartite graph
- graph theory
- fully connected
- edge weights
- interaction networks
- biological knowledge
- chemical compounds
- graph layout
- association rules
- graph data
- biological networks
- protein protein interactions
- complex networks
- graph structure
- protein structure
- biological entities
- path length
- microarray
- genetic variation
- network structure
- high throughput
- protein sequences
- weighted graph
- community discovery
- biological systems
- genome wide
- gene ontology