Feature genes selection and classification with SVM for microarray data of lung tissue.
Si-Hao DuShun-Feng SuJin-Tsong JengChih-Ching HsiaoPublished in: SCIS&ISIS (2014)
Keyphrases
- microarray data
- gene selection
- feature selection
- microarray data analysis
- cancer classification
- microarray datasets
- support vector machine svm
- informative genes
- dna microarray data
- microarray
- gene expression
- relevant genes
- feature ranking
- support vector
- feature vectors
- gene expression data
- gene expression profiles
- small number of samples
- dna microarray
- support vector machine
- colon cancer
- microarray gene expression data
- differentially expressed genes
- cancer diagnosis
- feature set
- high dimensionality
- microarray analysis
- gene expression microarray data
- data sets
- selected genes
- biologically relevant
- biological data
- ovarian cancer
- high dimensional
- gene expression analysis
- cluster analysis
- svm classifier
- biologically meaningful
- gene networks
- gene sets
- gene clusters
- biologically significant
- feature space
- tissue samples
- knn
- analysis of gene expression
- feature extraction
- feature subset
- text classification
- gene expression data sets
- gene expression datasets
- saccharomyces cerevisiae
- microarray technology
- pattern recognition
- random forest
- training data
- gene expression patterns
- machine learning
- gene function prediction
- unsupervised learning
- fold cross validation