Using the bagging approach for biclustering of gene expression data.
Blaise HanczarMohamed NadifPublished in: Neurocomputing (2011)
Keyphrases
- gene expression data
- gene expression
- microarray
- ensemble methods
- microarray data
- data sets
- decision trees
- gene regulatory networks
- random forest
- gene expression analysis
- gene expression data analysis
- high dimensionality
- machine learning
- base classifiers
- random forests
- high dimensional
- analysis of gene expression data
- feature selection
- biclustering algorithms
- gene selection
- regulatory networks
- high dimensional data
- gene expression profiles
- microarray gene expression data
- gene expression profiling
- training set
- gene expression patterns
- gene expression datasets
- cancer classification
- gene networks
- microarray datasets
- prediction accuracy
- dna microarray
- database
- experimental conditions
- benchmark datasets
- gene expression data sets
- cancer diagnosis