Microarray data clustering and visualization tool using self-organizing maps.
Zach Andrei MarasiganAbigaile DionisioGeoffrey SolanoPublished in: IISA (2015)
Keyphrases
- microarray data
- visualization tool
- microarray data analysis
- cluster analysis
- microarray
- gene expression profiles
- gene expression
- gene selection
- gene expression analysis
- clustering method
- k means
- gene expression data
- meta analysis
- data sets
- feature selection
- clustering algorithm
- gene networks
- microarray classification
- data analysis
- biological data
- open source
- biologically relevant
- small number of samples
- microarray gene expression data
- high dimensional
- high dimensionality
- cancer classification
- pattern recognition
- differentially expressed genes
- gene clusters
- unsupervised learning
- visualization tools
- clustering analysis
- dna microarray
- biologically meaningful
- dna microarray data
- gene expression patterns
- microarray datasets
- microarray analysis
- information theoretic
- data points
- experimental conditions
- self organizing maps