Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks.
Jiawei LuoPingjian DingCheng LiangXiangtao ChenPublished in: Neurocomputing (2018)
Keyphrases
- regularization framework
- heterogeneous networks
- semi supervised
- weighted graph
- semi supervised learning
- heterogeneous information networks
- labeled and unlabeled data
- gene expression
- labeled data
- pairwise
- unlabeled data
- secondary structure
- gene ontology
- gene sets
- metric learning
- unsupervised learning
- active learning
- multi view
- supervised learning
- random walk
- link prediction
- multiple types
- communication networks
- genome wide
- graph structure
- shortest path
- machine learning
- bilateral filter
- probabilistic model
- training data