Context-specific Bayesian clustering for gene expression data.
Yoseph BarashNir FriedmanPublished in: RECOMB (2001)
Keyphrases
- gene expression data
- context specific
- gene expression analysis
- clustering gene expression data
- gene expression
- microarray
- gene expression profiles
- high dimensionality
- gene expression data analysis
- high dimensional data
- microarray data
- microarray data analysis
- analysis of gene expression data
- data sets
- gene selection
- microarray gene expression data
- simultaneous clustering
- dna microarray
- feature selection
- clustering method
- clustering algorithm
- biclustering algorithms
- gene regulatory networks
- gene expression profiling
- yeast cell cycle
- cancer classification
- data clustering
- high dimensional
- k means
- gene expression data sets
- gene expression datasets
- self organizing maps
- data points
- hierarchical clustering
- domain specific
- general purpose
- feature space
- microarray datasets
- unsupervised learning
- gene networks
- nearest neighbor
- cluster ensemble
- tissue samples
- maximum likelihood
- multiple clusterings
- clustering analysis
- qualitative probabilistic networks
- overlapping clusters
- gene ontology terms
- high throughput