Comparative study of two-layer particle swarm optimization and particle swarm optimization in classification for tumor gene expression data with different dimensionalities.
Yajie LiuXinling ShiBaolei LiLian GaoChangxing GouQinhu ZhangYunchao HuangPublished in: BMEI (2013)
Keyphrases
- particle swarm optimization
- comparative study
- gene expression data
- tumor classification
- cancer diagnosis
- tissue samples
- microarray
- cancer classification
- gene expression
- gene expression profiles
- gene expression analysis
- colon cancer
- dna microarray data
- high dimensionality
- multi objective
- feature selection
- gene expression datasets
- gene selection
- microarray datasets
- dna microarray
- analysis of gene expression data
- microarray data
- gene regulatory networks
- cancer datasets
- data sets
- gene expression microarray data
- informative genes
- feature extraction
- pattern recognition
- gene expression data sets
- multi step
- gene expression data analysis
- microarray data analysis
- breast cancer
- high classification accuracy
- support vector machine svm
- high dimensional data
- microarray gene expression data
- high dimensional
- gene networks
- decision trees
- support vector machine
- classification accuracy
- feature vectors
- regulatory networks
- machine learning
- neural network