Bayesian variable selection for disease classification using gene expression data.
Ai-Jun YangXin-Yuan SongPublished in: Bioinform. (2010)
Keyphrases
- variable selection
- gene expression microarray data
- gene expression data
- dna microarray
- cross validation
- high dimensional
- feature selection
- high dimensionality
- gene expression
- microarray
- dimension reduction
- cancer classification
- high dimensional data
- model selection
- gene expression profiles
- pattern recognition
- gene expression analysis
- cancer diagnosis
- functional genomics
- data sets
- microarray data
- gene regulatory networks
- gene selection
- gene expression datasets
- microarray datasets
- analysis of gene expression data
- support vector machine
- machine learning
- feature vectors
- training set
- molecular biology
- regulatory networks
- training data
- decision trees
- support vector
- support vector machine svm
- text classification
- gene ontology
- feature extraction
- text mining