Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers.
Cristian Andrés GalloJessica Andrea CarballidoIgnacio PonzoniPublished in: BMC Bioinform. (2011)
Keyphrases
- microarray data
- microarray
- gene sets
- gene expression
- gene selection
- gene expression data
- gene clusters
- relevant genes
- gene networks
- biologically meaningful
- feature selection
- microarray gene expression data
- differentially expressed genes
- cancer classification
- informative genes
- meta analysis
- dna microarray data
- microarray datasets
- gene expression patterns
- gene expression profiles
- high throughput
- saccharomyces cerevisiae
- biologically significant
- microarray technology
- microarray analysis
- data sets
- training data
- gene expression data sets
- high dimensional
- dna microarray
- gene expression analysis
- gene ontology
- biologically relevant
- regulatory networks
- microarray data analysis
- analysis of gene expression
- decision trees
- biological data
- cluster analysis
- small number of samples
- experimental conditions
- support vector
- fold cross validation
- high dimensionality
- association rules
- feature ranking
- feature set
- gene function
- high dimensional data
- biological processes
- training set
- gene regulatory networks
- binding sites
- semantic similarity