An efficient statistical feature selection approach for classification of gene expression data.
B. ChandraManish GuptaPublished in: J. Biomed. Informatics (2011)
Keyphrases
- gene expression data
- feature selection
- high dimensionality
- cancer classification
- analysis of gene expression data
- microarray data
- microarray
- microarray datasets
- dna microarray
- gene expression analysis
- classification accuracy
- gene expression data sets
- gene expression
- gene expression profiles
- dna microarray data
- gene expression microarray data
- gene expression datasets
- gene selection
- tumor classification
- cancer diagnosis
- text classification
- support vector
- text categorization
- feature space
- colon cancer
- feature set
- microarray data analysis
- data sets
- feature selection algorithms
- gene expression data analysis
- microarray gene expression data
- pattern recognition
- gene regulatory networks
- gene expression profiling
- machine learning
- cancer datasets
- classification models
- decision trees
- gene networks
- feature subset
- model selection
- support vector machine
- tissue samples
- feature vectors
- feature extraction
- regulatory networks
- unsupervised learning
- simultaneous clustering
- clustering gene expression data
- small sample size
- random forest
- high dimensional data
- training set
- neural network