Addressing the Need for a Model Selection Framework in Systems Biology Using Information Theory.
Frank DeVilbissDoraiswami RamkrishnaPublished in: Proc. IEEE (2017)
Keyphrases
- model selection
- information theory
- statistical learning
- systems biology
- cross validation
- information theoretic
- parameter estimation
- sample size
- high throughput
- hyperparameters
- model selection criteria
- feature selection
- mutual information
- biological systems
- selection criterion
- machine learning
- variable selection
- image registration