Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data.
Li TengLaiwan ChanPublished in: PRIB (2007)
Keyphrases
- gene expression data
- order preserving
- data matrix
- gene expression analysis
- clustering gene expression data
- microarray
- high dimensionality
- gene expression
- gene expression profiles
- gene expression data analysis
- high dimensional data
- simultaneous clustering
- analysis of gene expression data
- microarray data analysis
- microarray data
- gene regulatory networks
- clustering method
- clustering algorithm
- gene selection
- gene expression profiling
- high dimensional
- cluster analysis
- feature selection
- data sets
- cancer classification
- regulatory networks
- gene expression datasets
- k means
- minimal perfect hash functions
- dna microarray
- hierarchical clustering
- clustering analysis
- spectral clustering
- data clustering
- high throughput
- unsupervised learning
- low dimensional
- dimensionality reduction
- original data
- biclustering algorithms
- document clustering
- self organizing maps
- cluster ensemble
- hash functions
- gene ontology terms
- neural network