Gene signature selection for cancer prediction using an integrated approach of genetic algorithm and support vector machine.
Kit Yan ChanH. L. ZhuC. C. LauSai-Ho LingPublished in: IEEE Congress on Evolutionary Computation (2008)
Keyphrases
- genetic algorithm
- support vector machine
- gene selection
- stock market prediction
- escherichia coli
- cancer classification
- microarray
- prediction accuracy
- crossover and mutation
- cancer diagnosis
- gene expression profiles
- multi class
- dna microarray
- outcome prediction
- gene prediction
- splice site
- gene expression
- radial basis function neural network
- machine learning
- gene expression data
- breast cancer
- svm classifier
- support vector machine svm
- remote homology detection
- ensemble classifier
- signature scheme
- prediction model
- microarray data
- fitness function
- evolutionary algorithm
- feature vectors
- artificial neural networks
- support vector
- feature selection
- optimal parameters
- high throughput
- multi objective
- protein protein interaction networks
- binary decision tree
- neural network