Approximate Bayesian feature selection on a large meta-dataset offers novel insights on factors that effect siRNA potency.
Jochen W. KlingelhoeferLoukas MoutsianasChristopher C. HolmesPublished in: Bioinform. (2009)
Keyphrases
- feature selection
- feature set
- factorial design
- mutual information
- factors that affect
- database
- text categorization
- feature selection algorithms
- factors affecting
- irrelevant features
- high dimensionality
- benchmark datasets
- maximum likelihood
- data driven
- factors influencing
- interaction effects
- meta level
- factors that influence
- fold cross validation
- microarray datasets
- dimensionality reduction
- classification accuracy
- unsupervised feature selection
- expectation propagation
- automatic relevance determination
- bayesian learning
- independent variables
- posterior distribution
- information gain
- model selection
- text classification
- bayesian networks
- training data
- feature extraction