Multiobjective feature selection for microarray data via distributed parallel algorithms.
Bin CaoJianwei ZhaoPo YangPeng YangXin LiuJun QiAndrew SimpsonMohamed ElhosenyIrfan MehmoodKhan MuhammadPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- microarray data
- parallel algorithm
- feature selection
- multi objective
- microarray classification
- gene selection
- microarray
- gene expression
- parallel computation
- gene expression data
- microarray data analysis
- parallel programming
- cluster analysis
- shared memory
- microarray datasets
- small number of samples
- evolutionary algorithm
- high dimensional
- data sets
- inter processor communication
- cancer classification
- differentially expressed genes
- multiobjective optimization
- gene expression profiles
- distributed systems
- text classification
- informative features
- text categorization
- selected features
- feature space
- gene sets
- microarray gene expression data
- gene expression data sets
- dna microarray data
- parallel version
- feature selection algorithms
- cluster of workstations
- support vector
- gene expression patterns
- gene networks
- high dimensionality
- support vector machine
- gene clusters
- dna microarray
- microarray analysis
- peer to peer
- model selection
- unsupervised learning
- genetic algorithm
- machine learning