A balanced iterative random forest for gene selection from microarray data.
Ali AnaissiPaul J. KennedyMadhu GoyalDaniel R. CatchpoolePublished in: BMC Bioinform. (2013)
Keyphrases
- random forest
- gene selection
- microarray data
- cancer classification
- microarray
- informative genes
- random forests
- decision trees
- cancer diagnosis
- relevant genes
- gene expression data
- feature selection
- feature set
- gene expression
- gene expression profiles
- microarray classification
- feature ranking
- data sets
- ensemble methods
- biologically relevant
- fold cross validation
- cluster analysis
- differentially expressed genes
- dna microarray
- microarray data analysis
- dna microarray data
- microarray analysis
- ensemble learning
- small number of samples
- multi label
- high dimensional
- selected genes
- ovarian cancer
- high throughput
- pattern recognition
- low dimensional
- data mining