Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks.
Chihyun ParkIlhwan OhJonghwan ChoiSoohyun KoJaegyoon AhnPublished in: IEEE Access (2021)
Keyphrases
- prediction accuracy
- outcome prediction
- average degree
- random walk
- fully connected
- prediction model
- graph theory
- social networks
- directed graph
- small world
- graph layout
- protein function prediction
- protein protein interaction networks
- network size
- edge weights
- embedded systems
- weighted graph
- neural network
- graph model
- breast cancer
- early detection
- graph matching
- community discovery
- graph structures
- network structure
- protein interaction networks
- connected components
- gene expression profiles
- feature selection
- generative model
- structured data
- functional modules
- protein interaction
- graph theoretic
- graph representation
- gene selection
- graph mining
- directed acyclic graph