Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm.
Bin HuYongqiang DaiYun SuPhilip MooreXiaowei ZhangChengsheng MaoJing ChenLixin XuPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2018)
Keyphrases
- biomedical data
- shuffled frog leaping algorithm
- high dimensional
- feature selection
- high dimensionality
- knowledge driven
- dimensionality reduction
- microarray data
- feature space
- particle swarm optimization
- gene expression data
- gene networks
- data mining methods
- low dimensional
- data reduction
- similarity search
- microarray
- systems biology
- data mining technology
- life sciences
- high dimensional data
- feature extraction
- data points
- classification accuracy
- data mining and knowledge discovery
- model selection
- knn
- machine learning
- neural network
- evolutionary algorithm
- data model
- adaptive systems
- multi objective
- gene regulatory networks
- nearest neighbor
- high throughput