Selection of the most useful subset of genes for gene expression-based classification.
Topon Kumar PaulHitoshi IbaPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- gene expression
- microarray gene
- microarray
- gene expression profiles
- gene expression data
- colon cancer
- microarray data
- gene expression analysis
- microarray datasets
- dna microarray
- informative genes
- microarray data analysis
- gene expression patterns
- biological processes
- cancer classification
- gene selection
- differentially expressed genes
- functional genomics
- gene regulation
- gene expression data sets
- regulatory networks
- drosophila melanogaster
- gene expression microarray data
- gene expression datasets
- survival prediction
- high dimensionality
- high throughput
- gene interactions
- biological networks
- binding sites
- analysis of gene expression
- differentially expressed
- gene expression data analysis
- disease genes
- cancer diagnosis
- microarray technology
- feature selection
- gene sets
- molecular biology
- ovarian cancer
- genomic data
- protein interaction
- feature subset
- support vector machine svm
- dimensionality reduction