Bayesian versus data driven model selection for microarray data.
Raffaele GiancarloGiosuè Lo BoscoFilippo UtroPublished in: Nat. Comput. (2015)
Keyphrases
- model selection
- microarray data
- data driven
- feature selection
- bayesian learning
- microarray
- cross validation
- bayesian model selection
- gene selection
- hyperparameters
- marginal likelihood
- statistical inference
- gene expression
- data sets
- gene expression data
- high dimensional
- sample size
- bayesian methods
- cluster analysis
- unsupervised learning
- parameter estimation
- microarray data analysis
- machine learning
- model selection criteria
- generalization error
- gaussian process
- selection criterion
- variable selection
- posterior distribution
- data mining
- text categorization
- bayesian framework
- bayesian networks
- data analysis
- bayesian information criterion
- information criterion