An Ensemble Approach for Phenotype Classification Based on Fuzzy Partitioning of Gene Expression Data.
Andrei DragomirIoannis A. MaraziotisAnastasios BezerianosPublished in: EMBC (2006)
Keyphrases
- gene expression data
- gene expression
- microarray
- high dimensionality
- gene expression profiles
- cancer classification
- dna microarray data
- dna microarray
- gene expression datasets
- gene expression analysis
- microarray datasets
- microarray data
- cancer diagnosis
- feature selection
- tumor classification
- pattern recognition
- simultaneous clustering
- colon cancer
- gene expression microarray data
- analysis of gene expression data
- gene expression data sets
- gene selection
- cancer datasets
- tissue samples
- microarray data analysis
- machine learning
- gene expression data analysis
- gene regulatory networks
- gene expression profiling
- regulatory networks
- feature space
- support vector machine
- data sets
- high dimensional
- microarray gene expression data
- gene networks
- genomic data
- gene expression patterns
- feature vectors
- support vector machine svm
- training set
- high dimensional data
- high throughput
- fuzzy clustering
- neural network
- gene ontology
- molecular biology