On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data.
Weixiang LiuKehong YuanDatian YePublished in: Artif. Intell. Medicine (2008)
Keyphrases
- nonnegative matrix factorization
- gene expression data
- gene expression profiles
- data matrix
- gene selection
- dna microarray
- microarray
- cancer diagnosis
- cancer classification
- gene expression data analysis
- gene expression
- gene expression datasets
- gene expression data sets
- gene expression analysis
- matrix factorization
- spectral clustering
- microarray data
- high dimensionality
- data representation
- gene expression profiling
- negative matrix factorization
- colon cancer
- tissue samples
- clustering gene expression data
- least squares
- high dimensional data
- original data
- gene ontology terms
- data sets
- document clustering
- simultaneous clustering
- feature selection
- principal component analysis
- high dimensional
- analysis of gene expression data
- microarray datasets
- clustering method
- dimensionality reduction
- rows and columns
- high throughput
- image processing