A Bi-Objective Clustering Algorithm for Gene Expression Data.
Jorge Parraga-AlavaMario Inostroza-PontaPublished in: CLEI Electron. J. (2017)
Keyphrases
- gene expression data
- bi objective
- clustering algorithm
- efficient solutions
- microarray
- multi objective
- gene expression
- microarray data
- multiple objectives
- network design
- ant colony optimization
- clustering analysis
- data sets
- multi objective optimization
- gene regulatory networks
- gene expression analysis
- feature selection
- high dimensionality
- analysis of gene expression data
- gene expression datasets
- gene expression data analysis
- gene expression profiling
- microarray gene expression data
- k means
- high dimensional
- knapsack problem
- simultaneous clustering
- gene selection
- high dimensional data
- shortest path problem
- regulatory networks
- overlapping clusters
- dna microarray
- high throughput
- clustering method
- cancer classification
- gene expression profiles
- microarray data analysis
- document clustering
- feature space
- pattern recognition
- evolutionary algorithm
- optimization algorithm
- cluster analysis
- data clustering
- hierarchical clustering
- routing problem
- low dimensional
- genetic algorithm