Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue.
Matthias E. FutschikAnthony ReeveNikola K. KasabovPublished in: Artif. Intell. Medicine (2003)
Keyphrases
- connectionist systems
- tissue samples
- gene expression data
- knowledge discovery
- microarray
- gene expression
- anomaly detection
- gene expression profiles
- neural network
- cancer diagnosis
- gene selection
- feature selection
- dna microarray
- data sets
- colon cancer
- microarray data
- gene expression data analysis
- databases
- gene regulatory networks
- gene expression data sets
- gene expression datasets
- high dimensionality
- gene expression analysis
- data mining
- cancer classification
- data analysis
- gene expression profiling
- high throughput
- machine learning
- cancer datasets
- tumor classification
- data mining techniques
- biologically significant
- association rules
- analysis of gene expression data
- microarray gene expression data
- high dimensional data
- text mining
- cell nuclei
- gene networks
- regulatory networks
- genomic data
- quantitative analysis
- experimental conditions
- microarray datasets
- pattern recognition