PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data.
Mohamed BouguessaShengrui WangPublished in: CIDM (2007)
Keyphrases
- gene expression data
- gene expression analysis
- gene expression data analysis
- clustering gene expression data
- gene expression
- high dimensionality
- microarray
- gene expression profiles
- high dimensional data
- microarray data analysis
- analysis of gene expression data
- microarray data
- feature selection
- gene regulatory networks
- yeast cell cycle
- clustering algorithm
- data sets
- cancer diagnosis
- gene expression profiling
- regulatory networks
- gene expression data sets
- biclustering algorithms
- clustering method
- simultaneous clustering
- hierarchical clustering
- cluster analysis
- self organizing maps
- gene selection
- dna microarray
- k means
- gene expression patterns
- microarray datasets
- cluster ensemble
- clustering analysis
- unsupervised learning
- gene expression datasets
- biological information
- neural network
- microarray gene expression data
- cancer classification
- document clustering
- dimensionality reduction
- random forest
- data clustering
- high throughput