Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data.
Mi-Xiao HouYing-Lian GaoJin-Xing LiuJunliang ShangChun-Hou ZhengPublished in: ICIC (2) (2016)
Keyphrases
- factorization methods
- genomic data
- tensor factorization
- matrix factorization
- nonnegative matrix factorization
- low rank
- high throughput
- k means
- collaborative filtering
- negative matrix factorization
- gene expression profiles
- clustering method
- clustering algorithm
- biological data
- experimental conditions
- missing data
- tag recommendation
- linear algebra
- factorization method
- gene expression data
- gene ontology
- high dimensional data
- link prediction
- document clustering
- gene expression
- protein protein interactions
- singular value decomposition
- probabilistic latent semantic analysis
- self organizing maps
- information theoretic
- data points