An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data.
Yongjun PiaoMinghao PiaoKiejung ParkKeun Ho RyuPublished in: Bioinform. (2012)
Keyphrases
- selection algorithm
- cancer classification
- gene expression data
- microarray
- gene expression
- gene selection
- random forest
- microarray gene expression data
- feature selection
- cancer diagnosis
- gene expression profiling
- microarray data
- gene expression datasets
- relevant genes
- gene expression profiles
- gene regulatory networks
- gene expression analysis
- informative genes
- colon cancer
- ensemble methods
- high dimensionality
- microarray datasets
- feature subset
- data sets
- dna microarray
- high throughput
- feature ranking
- feature subset selection
- cluster ensemble
- gene networks
- high dimensional data
- gene expression patterns
- analysis of gene expression
- expression patterns
- cancer datasets
- high dimensional
- training data
- learning algorithm
- neural network
- regulatory networks
- gene ontology
- base classifiers
- gene expression data sets
- selected genes
- k nearest neighbor
- feature set
- support vector machine
- feature space
- data analysis
- decision trees
- image processing