Bi-clustering of Gene Expression Data Using Conditional Entropy.
Afolabi OlomolaSumeet DuaPublished in: PRIB (2009)
Keyphrases
- gene expression data
- conditional entropy
- gene expression analysis
- clustering gene expression data
- microarray
- gene expression
- gene expression data analysis
- gene expression profiles
- high dimensionality
- high dimensional data
- microarray data analysis
- microarray data
- analysis of gene expression data
- mutual information
- information theory
- gene regulatory networks
- gene selection
- yeast cell cycle
- simultaneous clustering
- clustering algorithm
- clustering method
- cancer classification
- feature selection
- dna microarray
- data sets
- gene expression profiling
- regulatory networks
- data clustering
- k means
- microarray gene expression data
- clustering analysis
- gene ontology terms
- high dimensional
- cancer diagnosis
- biclustering algorithms
- gene expression datasets
- unsupervised learning
- self organizing maps
- information theoretic
- gene networks
- gene expression data sets
- cluster analysis
- dimensionality reduction
- knn
- graph theoretic
- experimental conditions
- gene ontology