Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data.
Niccoló BassaniFederico AmbrogiDanila CoradiniPatrizia BoracchiElia BiganzoliPublished in: IJCNN (2010)
Keyphrases
- microarray data
- cluster analysis
- gene expression patterns
- gene expression
- expression patterns
- data mining techniques
- microarray
- gene selection
- differentially expressed genes
- data mining
- clustering method
- analysis of gene expression
- microarray data analysis
- unsupervised learning
- gene expression data sets
- clustering algorithm
- k means
- factor analysis
- gene expression data
- cancer classification
- microarray technology
- dna microarray
- microarray datasets
- gene expression profiles
- gene sets
- biological data
- gene expression analysis
- gene networks
- clustering analysis
- data analysis
- regulatory networks
- biological processes
- data sets
- gene clusters
- high throughput
- bayesian networks
- dimensionality reduction
- pattern recognition
- real world