Semi-supervised SVM-based Feature Selection for Cancer Classification using Microarray Gene Expression Data.
Jun Chin AngHabibollah HaronHaza Nuzly Abdull HamedPublished in: IEA/AIE (2015)
Keyphrases
- cancer classification
- microarray gene expression data
- feature selection
- semi supervised
- gene selection
- microarray data
- support vector machine
- gene expression data
- support vector
- microarray
- active learning
- random forest
- cancer diagnosis
- semi supervised learning
- svm classifier
- support vector machine svm
- microarray datasets
- gene expression profiles
- informative genes
- labeled data
- unlabeled data
- gene expression
- unsupervised learning
- experimental conditions
- high dimensionality
- text categorization
- multi class
- feature subset
- supervised learning
- feature set
- data sets
- pairwise
- selected features
- feature space
- dna microarray
- machine learning
- machine learning methods
- high dimensional
- information gain
- feature selection algorithms
- dimensionality reduction
- similarity measure
- text classification