A Hybrid Gene Selection and Classification Approach for Microarray Data Based on Clustering and PSO.
Shanxiu YangFei HanJian GuanPublished in: ICIC (3) (2013)
Keyphrases
- microarray data
- gene selection
- microarray data analysis
- gene expression profiles
- cancer classification
- microarray
- dna microarray data
- relevant genes
- cluster analysis
- informative genes
- feature selection
- gene expression data
- small number of samples
- ovarian cancer
- microarray datasets
- gene expression
- high dimensionality
- cancer diagnosis
- microarray classification
- colon cancer
- dna microarray
- high dimensional
- small sample size
- gene expression analysis
- clustering analysis
- support vector machine svm
- feature ranking
- gene expression datasets
- differentially expressed genes
- data sets
- microarray analysis
- biologically relevant
- gene networks
- clustering method
- clustering algorithm
- unsupervised learning
- gene sets
- selected genes
- feature extraction
- biologically meaningful
- support vector machine
- molecular biology
- gene expression data sets
- decision trees
- k means
- data analysis
- pattern recognition
- high throughput
- text classification