A Two-Step Clustering for 3-D Gene Expression Data Reveals the Main Features of the Arabidopsis Stress Response.
Martin StrauchJochen SupperChristian SpiethDierk WankeJoachim KilianKlaus HarterAndreas ZellPublished in: J. Integr. Bioinform. (2007)
Keyphrases
- main features
- gene expression data
- gene expression profiles
- gene expression analysis
- microarray
- clustering gene expression data
- gene expression
- high dimensionality
- gene expression data analysis
- high dimensional data
- stress response
- analysis of gene expression data
- simultaneous clustering
- microarray data
- yeast cell cycle
- biclustering algorithms
- microarray data analysis
- gene regulatory networks
- gene selection
- gene expression datasets
- clustering algorithm
- data sets
- microarray gene expression data
- cluster ensemble
- gene expression profiling
- clustering analysis
- clustering method
- self organizing maps
- feature selection
- gene expression data sets
- high dimensional
- k means
- gene networks
- cancer classification
- dna microarray
- cancer diagnosis
- microarray datasets
- gene ontology
- data clustering
- gene ontology terms
- regulatory networks
- dimensionality reduction