State-space approach with the maximum likelihood principle to identify the system generating time-course gene expression data of yeast.
Rui YamaguchiTomoyuki HiguchiPublished in: Int. J. Data Min. Bioinform. (2006)
Keyphrases
- gene expression data
- maximum likelihood
- state space
- microarray
- gene expression
- microarray data
- regulatory networks
- gene expression levels
- data sets
- gene regulatory networks
- feature selection
- gene expression data analysis
- gene expression datasets
- high dimensionality
- analysis of gene expression data
- gene expression analysis
- high dimensional data
- gene selection
- microarray gene expression data
- gene networks
- high dimensional
- saccharomyces cerevisiae
- gene regulation
- cancer diagnosis
- biologically significant
- cancer classification
- gene expression profiles
- clustering gene expression data
- protein interaction data
- machine learning
- data mining
- microarray datasets
- gene ontology
- high throughput
- database