Low-precision feature selection on microarray data: an information theoretic approach.
Laura Morán-FernándezVerónica Bolón-CanedoAmparo Alonso-BetanzosPublished in: Medical Biol. Eng. Comput. (2022)
Keyphrases
- microarray data
- feature selection
- microarray classification
- gene selection
- gene expression
- microarray
- gene expression data
- data sets
- microarray datasets
- meta analysis
- small number of samples
- differentially expressed genes
- gene networks
- mutual information
- high dimensional
- biological data
- microarray data analysis
- cancer classification
- feature space
- dimensionality reduction
- cluster analysis
- informative features
- informative genes
- biologically relevant
- gene expression data sets
- text categorization
- gene expression profiles
- text classification
- support vector
- support vector machine
- gene sets
- selected features
- microarray gene expression data
- dna microarray data
- gene clusters
- classification accuracy
- high dimensionality
- dna microarray
- machine learning
- variable selection
- classification models
- decision trees
- feature extraction
- feature set
- database