Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine.
Soo Beom ChoiJee Soo ParkJai Won ChungTae Keun YooDeok Won KimPublished in: EMBC (2014)
Keyphrases
- microarray data
- gene selection
- support vector machine
- feature selection
- cancer classification
- microarray
- microarray data analysis
- building classification models
- decision boundary
- dna microarray data
- microarray datasets
- support vector machine svm
- dna microarray
- gene expression profiles
- svm classifier
- gene expression data
- informative genes
- support vector
- gene expression
- microarray analysis
- feature vectors
- cancer diagnosis
- ovarian cancer
- colon cancer
- gene expression microarray data
- feature space
- small number of samples
- data sets
- biological data
- classification accuracy
- cluster analysis
- differentially expressed genes
- gene clusters
- high dimensionality
- machine learning
- training set
- feature ranking
- microarray gene expression data
- decision trees
- high throughput
- feature extraction
- training data
- pattern recognition
- k nearest neighbor
- feature set
- gene networks
- text classification
- fold cross validation
- gene expression analysis
- machine learning methods
- training samples