Finding best algorithmic components for clustering microarray data.
Milan VukicevicKathrin KirchnerBoris DelibasicMilos JovanovicJohannes RuhlandMilija SuknovicPublished in: Knowl. Inf. Syst. (2013)
Keyphrases
- microarray data
- microarray data analysis
- cluster analysis
- microarray
- gene expression profiles
- gene selection
- gene expression analysis
- gene expression
- clustering method
- feature selection
- k means
- high dimensional
- data sets
- clustering algorithm
- gene expression data
- meta analysis
- unsupervised learning
- small number of samples
- microarray classification
- microarray gene expression data
- biologically relevant
- differentially expressed genes
- clustering analysis
- microarray datasets
- dna microarray data
- gene clusters
- high dimensionality
- gene networks
- biological data
- data points
- cancer classification
- biologically meaningful
- self organizing maps
- high dimensional data
- dna microarray
- gene expression patterns
- dimensionality reduction
- knowledge discovery
- training data
- face recognition
- analysis of gene expression