-factor analyzers for clustering high-dimensional microarray data.
Jangsun BaekGeoffrey J. McLachlanPublished in: Bioinform. (2011)
Keyphrases
- microarray data
- high dimensional
- cluster analysis
- microarray data analysis
- microarray
- factor analyzers
- low dimensional
- gene expression profiles
- gene selection
- gene expression data
- gene expression
- high dimensionality
- gene expression analysis
- data points
- small sample size
- meta analysis
- clustering method
- high dimensional data
- differentially expressed genes
- microarray classification
- clustering algorithm
- dimensionality reduction
- feature selection
- microarray gene expression data
- data sets
- biologically relevant
- biological data
- gene clusters
- k means
- gene networks
- small number of samples
- cancer classification
- variable selection
- biologically meaningful
- clustering analysis
- dna microarray data
- unsupervised learning
- gene expression patterns
- microarray datasets
- high throughput
- data mining
- data mining techniques
- pattern recognition
- database
- self organizing maps
- training samples
- model selection