Effect of microarray data heterogeneity on regulatory gene module discovery.
Alok MishraDuncan GilliesPublished in: BMC Syst. Biol. (2007)
Keyphrases
- microarray data
- differentially expressed
- microarray
- gene expression
- gene selection
- microarray gene expression
- gene expression data
- differentially expressed genes
- gene regulation
- gene clusters
- relevant genes
- meta analysis
- dna microarray data
- gene networks
- biologically meaningful
- microarray gene expression data
- gene expression patterns
- transcription factors
- microarray datasets
- informative genes
- data sets
- saccharomyces cerevisiae
- gene expression profiles
- cancer classification
- biologically significant
- gene sets
- microarray technology
- feature selection
- gene expression analysis
- microarray data analysis
- high dimensional
- gene expression data sets
- knowledge discovery
- high throughput
- biological data
- dna microarray
- regulatory networks
- cluster analysis
- biological processes
- gene ontology
- biologically relevant
- experimental conditions
- microarray analysis
- high dimensionality
- molecular biology
- small number of samples
- machine learning
- analysis of gene expression
- cancer diagnosis
- data analysis
- ovarian cancer
- genomic data