Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis.
Bernard ChenRoshan DoolabhFusheng TangPublished in: ICMLA (1) (2013)
Keyphrases
- microarray data
- clustering analysis
- microarray
- high throughput
- gene expression data
- protein protein interactions
- gene expression
- biologically relevant
- ppi networks
- biological data
- saccharomyces cerevisiae
- cluster analysis
- protein complexes
- biological networks
- biological processes
- biologically significant
- regulatory networks
- gene expression profiles
- protein interaction
- gene selection
- gene expression levels
- gene ontology
- gene sets
- functional modules
- gene networks
- microarray data analysis
- protein protein interaction networks
- experimental conditions
- molecular biology
- high dimensionality
- transcription factors
- microarray datasets
- genomic data
- protein interaction networks
- clustering method
- biologically meaningful
- biomedical literature
- genome wide
- gene regulatory networks
- feature selection
- systems biology
- binding sites
- high dimensional
- clustering algorithm
- high precision
- data sets
- network analysis
- network topology
- fuzzy clustering
- anomaly detection