Nature-inspired multiobjective patient stratification from cancer gene expression data.
Yunhe WangZhiqiang MaKa-Chun WongXiangtao LiPublished in: Inf. Sci. (2020)
Keyphrases
- nature inspired
- gene expression data
- multi objective
- gene selection
- artificial bee colony
- swarm intelligence
- dna microarray
- multiobjective optimization
- cancer diagnosis
- gene expression profiles
- particle swarm optimization
- cancer classification
- microarray
- gene expression datasets
- gene expression
- pso algorithm
- gene expression data sets
- colon cancer
- ant colony optimization
- tissue samples
- evolutionary algorithm
- gene expression data analysis
- optimization algorithm
- microarray data
- metaheuristic
- gene expression profiling
- ant colony optimization algorithm
- multi objective optimization
- gene expression analysis
- high dimensionality
- collective intelligence
- data sets
- portfolio management
- gene regulatory networks
- traveling salesman problem
- objective function
- multiple objectives
- evolutionary computation
- genetic algorithm
- feature selection
- bi objective
- gene ontology terms
- web intelligence
- high throughput
- differential evolution
- computational intelligence
- molecular biology
- nsga ii
- optimization problems
- min max
- particle swarm optimization pso
- high dimensional data
- simulated annealing
- high dimensional
- artificial immune system
- search space
- machine learning