Clustering of Gene Expression Data and End-Point Measurements by Simulated Annealing.
Pierre R. BushelPublished in: J. Bioinform. Comput. Biol. (2009)
Keyphrases
- gene expression data
- endpoints
- simulated annealing
- gene expression analysis
- clustering gene expression data
- gene expression data analysis
- gene expression
- high dimensionality
- microarray
- gene expression profiles
- high dimensional data
- analysis of gene expression data
- microarray data
- microarray data analysis
- simultaneous clustering
- clustering method
- biclustering algorithms
- clustering algorithm
- gene expression data sets
- data sets
- gene selection
- k means
- gene regulatory networks
- feature selection
- gene expression datasets
- gene expression profiling
- clustering analysis
- high dimensional
- gene expression patterns
- unsupervised learning
- cancer classification
- yeast cell cycle
- microarray gene expression data
- hierarchical clustering
- dna microarray
- cancer diagnosis
- data clustering
- line segments
- self organizing maps
- gene networks
- high throughput
- low dimensional
- gene ontology terms
- data mining
- document clustering
- cluster analysis
- biological information
- data points
- feature space
- machine learning