Iterative Feature perturbation as a gene Selector for microarray Data.
Juana Canul-ReichLawrence O. HallDmitry B. GoldgofJohn N. KoreckiSteven EschrichPublished in: Int. J. Pattern Recognit. Artif. Intell. (2012)
Keyphrases
- microarray data
- microarray
- gene expression
- gene selection
- gene expression data
- gene clusters
- gene networks
- meta analysis
- differentially expressed genes
- dna microarray data
- relevant genes
- biologically meaningful
- informative genes
- gene sets
- microarray gene expression data
- gene expression patterns
- high throughput
- cancer classification
- microarray analysis
- gene expression profiles
- microarray datasets
- biologically significant
- saccharomyces cerevisiae
- dna microarray
- gene expression analysis
- gene expression data sets
- biological data
- feature selection
- cluster analysis
- microarray data analysis
- regulatory networks
- high dimensional
- gene ontology
- microarray technology
- molecular biology
- feature ranking
- biologically relevant
- cancer diagnosis
- selected genes
- data sets
- colon cancer
- small number of samples
- analysis of gene expression
- transcription factors
- feature set
- genomic data
- biological processes
- gene regulatory networks
- protein protein interactions
- feature subset
- high dimensionality
- data mining