Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks.
Mohammed Al-ShalalfaTarek A. BismarReda AlhajjPublished in: Adv. Bioinformatics (2012)
Keyphrases
- biological networks
- gene expression data
- gene expression
- biologically significant
- microarray
- gene selection
- dna microarray
- gene regulatory networks
- gene expression profiles
- gene expression data sets
- microarray data
- gene expression datasets
- cancer classification
- biologically relevant
- cancer diagnosis
- colon cancer
- functional modules
- biological processes
- systems biology
- gene expression patterns
- gene expression profiling
- protein protein interaction networks
- tissue samples
- regulatory networks
- gene expression analysis
- cancer datasets
- gene networks
- biological data
- gene ontology terms
- protein interaction networks
- gene ontology
- transcription factors
- feature selection
- microarray datasets
- high dimensionality
- analysis of gene expression data
- complex networks
- graph mining
- link prediction
- biological systems
- pattern mining
- high throughput
- biological knowledge
- community detection
- protein protein interactions
- complex systems
- molecular biology
- high dimensional data
- data sets
- social networks
- machine learning