Quantitative Evaluation of Established Clustering Methods for Gene Expression Data.
Dörte RadkeUlrich MöllerPublished in: ISBMDA (2004)
Keyphrases
- quantitative evaluation
- gene expression data
- microarray
- gene expression
- ground truth
- microarray data
- data sets
- microarray gene expression data
- gene regulatory networks
- feature selection
- gene expression datasets
- qualitative evaluation
- gene expression analysis
- gene expression data analysis
- gene selection
- gene expression data sets
- high throughput
- analysis of gene expression data
- dna microarray data
- gene expression profiles
- cancer classification
- cancer diagnosis
- clustering gene expression data
- gene networks
- high dimensionality
- regulatory networks
- gene expression patterns
- high dimensional data
- microarray datasets
- quality assessment
- high dimensional
- gene expression profiling
- databases
- dna microarray
- tissue samples
- data warehouse
- face recognition
- yeast cell cycle