An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction.
Chun Wan YeungFrank H. F. LeungKit Yan ChanSai-Ho LingPublished in: IJCNN (2009)
Keyphrases
- particle swarm optimization
- support vector machine
- gene selection
- stock market prediction
- microarray
- gene expression profiles
- prediction accuracy
- escherichia coli
- splice site
- cancer classification
- gene expression
- particle swarm optimization algorithm
- multi class
- multi objective
- outcome prediction
- pso algorithm
- gene expression data
- gene prediction
- support vector machine svm
- svm classifier
- protein protein interaction networks
- dna microarray
- cancer diagnosis
- candidate genes
- microarray data
- high throughput
- differential evolution
- knn
- support vector
- feature selection
- machine learning
- human genome
- lung cancer
- signature verification
- breast cancer
- gene expression analysis
- gene expression datasets
- evolutionary algorithm
- colon cancer
- neural network