A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.
Kun-Hong LiuBo LiJun ZhangJi-Xiang DuPublished in: ISNN (3) (2009)
Keyphrases
- microarray data
- feature selection
- microarray data analysis
- dna microarray data
- microarray
- building classification models
- classification models
- classification accuracy
- cancer classification
- feature extraction
- support vector
- high dimensional
- small number of samples
- data sets
- gene selection
- model selection
- probabilistic model
- gene expression
- ovarian cancer
- gene expression data
- machine learning
- microarray datasets
- gene expression profiles
- microarray gene expression data
- gene expression analysis
- differentially expressed genes
- gene expression microarray data
- dna microarray
- meta analysis
- cluster analysis
- machine learning methods
- text classification
- feature set
- pattern recognition
- decision trees
- data mining
- independent component analysis
- knn