Simultaneous genes and training samples selection by modified particle swarm optimization for gene expression data classification.
Qi ShenZhen MeiBao-Xian YePublished in: Comput. Biol. Medicine (2009)
Keyphrases
- training samples
- gene expression data
- gene expression
- small number of samples
- high dimensional
- microarray data
- microarray
- high dimensionality
- feature space
- microarray gene expression data
- cancer classification
- gene expression profiles
- informative genes
- microarray datasets
- gene expression datasets
- gene regulatory networks
- gene selection
- gene expression analysis
- feature selection
- training set
- analysis of gene expression data
- dna microarray data
- supervised learning
- gene expression data sets
- regulatory networks
- cancer diagnosis
- training data
- dna microarray
- learning algorithm
- clustering gene expression data
- microarray data analysis
- data sets
- yeast cell cycle
- gene expression data analysis
- gene networks
- high throughput
- gene expression profiling
- high dimensional data
- colon cancer
- feature extraction
- classification accuracy
- decision trees
- dimensionality reduction
- face images
- pattern recognition
- database
- biological data
- tissue samples
- low dimensional
- machine learning methods
- random forest