Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.
Dong Ou-YangYong LiangJianjun WangXiao-Ying LiuShengli XieRui MiaoNing AiLe LiQi DangPublished in: Briefings Bioinform. (2022)
Keyphrases
- tensor factorization
- multiple types
- gene function
- matrix factorization
- negative matrix factorization
- gene expression
- collaborative filtering
- tag recommendation
- genome wide
- gene ontology
- nonnegative matrix factorization
- co occurrence
- contextual information
- user interests
- pairwise
- microarray
- information theoretic
- document clustering
- social network analysis
- link prediction
- multiple features
- class labels