Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors.
Constantin F. AliferisIoannis TsamardinosPierre P. MassionAlexander R. StatnikovDouglas P. HardinPublished in: METMBS (2003)
Keyphrases
- gene expression data
- classification models
- preliminary investigation
- feature selection
- gene expression
- microarray
- microarray data
- gene expression data analysis
- decision trees
- gene regulatory networks
- training data
- gene expression datasets
- feature subset
- high dimensional data
- gene expression analysis
- gene selection
- microarray gene expression data
- gene expression profiles
- analysis of gene expression data
- microarray datasets
- gene networks
- cancer diagnosis
- high dimensionality
- gene expression profiling
- gene expression data sets
- clustering gene expression data
- high dimensional
- regulatory networks
- dna microarray
- data sets
- cancer classification
- feature set
- gene expression patterns
- gene ontology
- dimensionality reduction
- evolutionary algorithm
- tissue samples
- pattern recognition
- feature extraction
- database