Near-optimal experimental design for model selection in systems biology.
Alberto Giovanni BusettoAlain HauserGabriel KrummenacherMikael SunnåkerSotiris DimopoulosCheng Soon OngJörg StellingJoachim M. BuhmannPublished in: Bioinform. (2013)
Keyphrases
- experimental design
- model selection
- systems biology
- sample size
- high throughput
- cross validation
- biological systems
- feature selection
- biological data
- biological networks
- parameter estimation
- hyperparameters
- gene regulatory networks
- empirical studies
- active learning
- protein protein interactions
- regression model
- machine learning
- gaussian process
- generalization error
- random sampling
- unsupervised learning
- knowledge discovery
- data sets
- microarray
- data mining
- high dimensionality
- statistical methods