Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
Milos D. RadovicMohamed F. GhalwashNenad FilipovicZoran ObradovicPublished in: BMC Bioinform. (2017)
Keyphrases
- minimum redundancy
- gene expression data
- feature selection
- high dimensionality
- microarray data
- gene expression data sets
- gene expression analysis
- gene expression datasets
- gene selection
- gene regulatory networks
- machine learning
- feature space
- feature selection algorithms
- text categorization
- cancer classification
- gene expression data analysis
- microarray gene expression data
- feature set
- microarray
- support vector machine
- classification accuracy
- support vector
- dimensionality reduction
- analysis of gene expression data
- feature subset
- feature extraction
- neural network
- gene networks
- gene expression profiles
- gene expression profiling
- tumor classification
- clustering gene expression data
- dna microarray
- regulatory networks
- gene expression
- data mining
- microarray datasets
- biological information
- high dimensional data
- unsupervised learning
- principal component analysis
- knn
- data sets
- database