Multidimensional support vector machines for visualization of gene expression data.
Daisuke KomuraHiroshi NakamuraShuichi TsutsumiHiroyuki AburataniSigeo IharaPublished in: SAC (2004)
Keyphrases
- gene expression data
- support vector
- feature selection
- microarray
- gene expression
- microarray data
- data sets
- gene expression analysis
- gene expression data analysis
- gene regulatory networks
- data analysis
- support vector machine
- analysis of gene expression data
- gene expression datasets
- high dimensionality
- gene expression data sets
- high dimensional data
- self organizing maps
- gene networks
- cancer classification
- gene expression profiles
- cancer diagnosis
- dna microarray
- gene expression profiling
- microarray gene expression data
- gene selection
- regulatory networks
- yeast cell cycle
- clustering gene expression data
- feature ranking
- linear discriminant analysis
- high throughput
- high dimensional
- logistic regression
- classification accuracy
- dna microarray data
- pattern recognition
- feature extraction
- machine learning
- neural network