Identifying genes that contribute most to good classification in microarrays.
Stuart G. BakerBarnett S. KramerPublished in: BMC Bioinform. (2006)
Keyphrases
- gene expression
- microarray data analysis
- microarray datasets
- microarray data
- microarray
- cancer classification
- colon cancer
- gene expression data
- gene expression analysis
- pattern recognition
- microarray gene
- gene expression profiles
- dna microarray
- classification accuracy
- gene selection
- cancer diagnosis
- high dimensionality
- high throughput
- feature selection
- dna microarray data
- decision trees
- gene ontology
- machine learning
- microarray expression data
- feature space
- image classification
- support vector machine
- feature vectors
- training set
- gene expression datasets
- informative genes
- biological processes
- supervised learning
- experimental conditions
- support vector
- binding sites
- microarray analysis
- molecular biology
- data sets
- classification algorithm