Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data.
David J. DittmanTaghi M. KhoshgoftaarRandall WaldAmri NapolitanoPublished in: ICMLA (1) (2012)
Keyphrases
- microarray data
- gene selection
- microarray
- gene expression
- gene expression data
- feature selection
- cancer classification
- microarray classification
- selected genes
- dna microarray
- high dimensional
- data sets
- gene expression profiles
- microarray data analysis
- small number of samples
- cluster analysis
- informative genes
- microarray gene expression
- biologically relevant
- biological data
- relevant genes
- dna microarray data
- ovarian cancer
- microarray datasets
- cancer diagnosis
- feature ranking
- differentially expressed genes
- gene networks
- gene clusters
- support vector machine svm
- dimensionality reduction
- pattern recognition
- gene sets
- experimental conditions
- biologically meaningful
- gene ontology
- high throughput
- k nearest neighbor
- support vector
- learning algorithm