Gauss-Seidel based non-negative matrix factorization for gene expression clustering.
Qing LiaoNaiyang GuanQian ZhangPublished in: ICASSP (2016)
Keyphrases
- gene expression
- negative matrix factorization
- document clustering
- spectral clustering
- microarray
- microarray gene
- gene expression data analysis
- gene expression profiles
- gene expression data
- gene expression analysis
- microarray data analysis
- clustering algorithm
- matrix factorization
- clustering method
- microarray data
- gene expression patterns
- k means
- biological processes
- gauss seidel
- biological networks
- binding sites
- sparse representation
- information theoretic
- data clustering
- principal component analysis
- pairwise
- blind source separation
- gene ontology
- high dimensionality
- text documents
- high throughput
- high dimensional data
- document collections
- unsupervised learning
- text mining
- biclustering algorithms
- information extraction
- data points
- probabilistic model
- feature space
- data analysis