Selection of more than one gene at a time for cancer prediction from gene expression data.
Oleg OkunNikolay G. ZagoruikoAlexessander AlvesOlga KutnenkoIrina BorisovaPublished in: ESANN (2006)
Keyphrases
- gene expression data
- gene selection
- microarray
- gene expression profiles
- gene expression
- dna microarray
- cancer classification
- cancer diagnosis
- gene expression datasets
- gene expression data sets
- gene expression data analysis
- biologically significant
- microarray data
- gene regulatory networks
- cancer datasets
- colon cancer
- tissue samples
- data sets
- gene expression analysis
- gene expression profiling
- gene ontology terms
- relevant genes
- microarray gene expression data
- microarray technology
- analysis of gene expression data
- selected genes
- high dimensional data
- gene expression patterns
- high throughput
- gene networks
- regulatory networks
- gene regulation
- high dimensionality
- tumor classification
- yeast cell cycle
- dna microarray data
- analysis of gene expression
- random forest
- molecular biology
- saccharomyces cerevisiae
- feature selection
- informative genes
- microarray gene expression
- genomic data
- breast cancer
- high dimensional
- biological information
- microarray datasets
- protein interaction
- experimental conditions
- gene ontology
- machine learning