Binary State Pattern Clustering: A Digital Paradigm for Class and Biomarker Discovery in Gene Microarray Studies of Cancer.
Bradley J. BeattiePeter N. RobinsonPublished in: J. Comput. Biol. (2006)
Keyphrases
- microarray
- related genes
- gene expression profiles
- gene expression analysis
- gene expression
- gene selection
- high throughput
- gene expression data sets
- biomarker discovery
- cancer classification
- gene expression data
- meta analysis
- mass spectrometry data
- dna microarray
- microarray data
- microarray data analysis
- high dimensionality
- clustering analysis
- gene expression data analysis
- gene expression datasets
- cancer diagnosis
- microarray analysis
- microarray datasets
- microarray technology
- colon cancer
- gene networks
- gene ontology
- breast cancer
- clustering algorithm
- cluster ensemble
- molecular biology
- regulatory networks
- gene sets
- experimental conditions
- tissue samples
- differential expression
- data sets
- gene expression patterns
- biological processes
- self organizing maps
- genomic data
- synthetic datasets
- cluster analysis
- high dimensional
- biclustering algorithms
- expression profiles
- functional modules
- transcription factors