Cluster stability scores for microarray data in cancer studies.
Mark SmolkinDebashis GhoshPublished in: BMC Bioinform. (2003)
Keyphrases
- microarray data
- gene selection
- meta analysis
- gene clusters
- cluster analysis
- biologically significant
- microarray
- cancer classification
- gene expression profiles
- dna microarray
- gene expression
- relevant genes
- microarray technology
- gene expression data
- gene expression data sets
- ovarian cancer
- microarray analysis
- gene sets
- feature selection
- cancer diagnosis
- microarray data analysis
- high dimensional
- data sets
- colon cancer
- microarray gene expression data
- gene expression analysis
- biological data
- gene networks
- differentially expressed genes
- gene expression datasets
- analysis of gene expression
- gene expression patterns
- clustering algorithm
- gene expression microarray data
- biologically relevant
- biologically meaningful
- microarray datasets
- high dimensionality
- informative genes
- dna microarray data
- small number of samples
- data mining techniques
- gene ontology
- molecular biology
- high throughput
- breast cancer
- data warehouse
- data mining