Minimum Redundancy Feature Selection from Microarray Gene Expression Data.
Chris H. Q. DingHanchuan PengPublished in: CSB (2003)
Keyphrases
- minimum redundancy
- microarray gene expression data
- feature selection
- microarray data
- gene expression data
- microarray datasets
- cancer classification
- gene selection
- high dimensionality
- feature set
- classification accuracy
- text classification
- informative genes
- dimensionality reduction
- cancer diagnosis
- support vector machine
- model selection
- text categorization
- microarray
- gene regulatory networks
- feature selection algorithms
- feature ranking
- feature space
- feature extraction
- machine learning
- dna microarray
- gene expression data sets
- feature subset
- information gain
- support vector
- feature subset selection
- biological data
- gene expression profiles
- classification models
- training data
- gene expression
- object oriented
- high dimensional
- data analysis