A Hybrid BPSO-CGA Approach for Gene Selection and Classification of Microarray Data.
Li-Yeh ChuangCheng-Huei YangJung-Chike LiCheng-Hong YangPublished in: J. Comput. Biol. (2012)
Keyphrases
- microarray data
- gene selection
- cancer classification
- relevant genes
- microarray
- dna microarray data
- microarray data analysis
- microarray datasets
- feature selection
- informative genes
- cancer diagnosis
- dna microarray
- gene expression profiles
- colon cancer
- gene expression data
- small number of samples
- ovarian cancer
- small sample size
- support vector machine svm
- gene expression
- microarray classification
- feature ranking
- microarray analysis
- data sets
- gene expression datasets
- selected genes
- high dimensional
- biologically relevant
- gene networks
- pattern recognition
- gene sets
- high dimensionality
- cluster analysis
- microarray technology
- support vector machine
- feature space
- decision trees
- training data
- gene expression analysis
- high throughput
- machine learning methods
- text classification
- early detection
- low dimensional
- feature set
- supervised learning
- machine learning