Model Selection in Systems Biology Depends on Experimental Design.
Daniel SilkPaul D. W. KirkChris P. BarnesTina ToniMichael P. H. StumpfPublished in: PLoS Comput. Biol. (2014)
Keyphrases
- model selection
- experimental design
- systems biology
- sample size
- high throughput
- cross validation
- biological systems
- feature selection
- hyperparameters
- biological data
- biological networks
- parameter estimation
- active learning
- regression model
- machine learning
- gene regulatory networks
- empirical studies
- unsupervised learning
- random sampling
- gaussian process
- protein protein interactions
- generalization error
- microarray
- software engineering
- upper bound
- feature space