Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data.
Will PearsonCao Truong TranMengjie ZhangBing XuePublished in: CEC (2019)
Keyphrases
- gene expression data
- feature selection
- microarray data
- gene expression
- microarray
- high dimensionality
- gene expression data sets
- gene selection
- feature subspace
- cancer classification
- random forest
- microarray datasets
- feature set
- dna microarray
- data sets
- high dimensional
- support vector machine
- high dimensional data
- text classification
- subspace methods
- machine learning
- classifier fusion
- text categorization
- feature space
- feature extraction
- cross validation
- unsupervised learning
- dimensionality reduction
- multi class
- knn
- ensemble learning
- classification accuracy
- data mining
- neural network