A novel BPSO approach for gene selection and classification of microarray data.
Cheng-San YangLi-Yeh ChuangJung-Chike LiCheng-Hong YangPublished in: IJCNN (2008)
Keyphrases
- microarray data
- gene selection
- cancer classification
- relevant genes
- microarray data analysis
- microarray
- dna microarray data
- feature selection
- gene expression profiles
- dna microarray
- microarray datasets
- informative genes
- cancer diagnosis
- ovarian cancer
- small sample size
- gene expression
- gene expression data
- colon cancer
- small number of samples
- microarray classification
- feature ranking
- support vector machine svm
- microarray analysis
- data sets
- high dimensional
- gene expression analysis
- biological data
- cluster analysis
- gene networks
- text classification
- biologically relevant
- gene expression datasets
- support vector machine
- gene expression data sets
- selected genes
- differentially expressed genes
- microarray technology
- biologically meaningful
- high dimensionality
- gene clusters
- pattern recognition
- gene sets
- feature set
- support vector
- high throughput
- feature vectors
- training set
- feature extraction