Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification.
Lingyun GaoMingquan YeXiaojie LuDaobin HuangPublished in: Genom. Proteom. Bioinform. (2017)
Keyphrases
- hybrid method
- information gain
- support vector machine
- cancer classification
- gene selection
- feature selection
- microarray data
- cancer diagnosis
- support vector machine svm
- text categorization
- chi square
- multi class
- mutual information
- svm classifier
- gene expression data
- gene expression profiles
- k nearest neighbor
- support vector
- dna microarray
- colon cancer
- decision trees
- machine learning
- classification accuracy
- informative genes
- text classification
- feature space
- knn
- microarray datasets
- feature ranking
- naive bayes
- feature subset
- microarray
- high dimensionality
- training set
- training data
- correlation coefficient
- feature set
- feature vectors
- gene expression
- logistic regression
- data sets
- unsupervised learning
- gene sets
- data mining
- neural network