Clustering Biological Annotations and Gene Expression Data to Identify Putatively Co-regulated Biological Processes.
Corneliu HenegarRaffaella CancelloSophie RomeHubert VidalKarine ClémentJean-Daniel ZuckerPublished in: J. Bioinform. Comput. Biol. (2006)
Keyphrases
- biological processes
- gene expression
- gene expression data
- microarray
- gene expression analysis
- gene expression patterns
- gene expression profiles
- gene regulatory networks
- gene ontology
- regulatory networks
- high dimensionality
- microarray data
- biological information
- gene regulation
- expression patterns
- cell cycle
- functional modules
- biclustering algorithms
- experimental conditions
- biological knowledge
- dna microarray
- biological networks
- clustering algorithm
- high throughput
- molecular biology
- biological data
- cancer classification
- k means
- high dimensional data
- protein complexes
- clustering method
- protein interaction
- cluster analysis
- microarray datasets
- protein protein interactions
- high dimensional
- interaction networks
- transcription factors
- binding sites
- gene selection
- systems biology
- biological systems
- protein interaction data