Gene Association Networks from Microarray Data Using a Regularized Estimation of Partial Correlation Based on PLS Regression.
Arthur TenenhausVincent GuillemotXavier GidrolVincent FrouinPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2010)
Keyphrases
- microarray data
- gene networks
- microarray
- gene expression
- gene selection
- partial least squares
- gene expression data
- gene clusters
- biologically meaningful
- meta analysis
- differentially expressed genes
- microarray gene expression data
- biological networks
- dna microarray data
- gene expression patterns
- microarray datasets
- cancer classification
- gene regulatory networks
- high throughput
- gene expression profiles
- informative genes
- saccharomyces cerevisiae
- biologically significant
- dna microarray
- gene sets
- gene expression data sets
- regulatory networks
- gene expression analysis
- gene ontology
- cluster analysis
- data sets
- feature selection
- high dimensional
- microarray technology
- microarray data analysis
- biological data
- microarray analysis
- biological processes
- experimental conditions
- discriminant analysis
- cancer diagnosis
- network structure
- biologically relevant
- principal component analysis
- binding sites
- feature space
- support vector
- small number of samples
- functional modules