Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data.
Volker RothMikio L. BraunTilman LangeJoachim M. BuhmannPublished in: ICANN (2002)
Keyphrases
- gene expression data
- model order selection
- gene expression analysis
- clustering gene expression data
- high dimensionality
- microarray
- gene expression profiles
- gene expression
- gene expression data analysis
- high dimensional data
- analysis of gene expression data
- microarray data analysis
- data sets
- microarray data
- gene regulatory networks
- feature selection
- simultaneous clustering
- gene expression datasets
- clustering algorithm
- gene selection
- clustering method
- k means
- high dimensional
- biclustering algorithms
- yeast cell cycle
- gene expression profiling
- cancer classification
- gene networks
- dna microarray
- hierarchical clustering
- self organizing maps
- dimensionality reduction
- regulatory networks
- cancer diagnosis
- machine learning
- gene expression data sets
- microarray gene expression data
- multiple clusterings
- clustering analysis
- parameter tuning
- data points
- gene expression patterns
- text clustering
- molecular biology
- unsupervised learning
- gene ontology terms
- data mining