Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models.
Sebastián Espinel-RíosGerrich BehrendtJasmin BauerBruno MorabitoJohannes PohlodekAndrea SchützeRolf FindeisenKatja BettenbrockSteffen KlamtPublished in: CoRR (2024)
Keyphrases
- gaussian process
- gaussian processes
- bayesian framework
- model selection
- covariance function
- gaussian process regression
- probabilistic model
- dynamical models
- hyperparameters
- gaussian process models
- cross validation
- gaussian process classification
- data mining
- latent variables
- regression model
- bayesian methods
- signal to noise ratio
- dynamical model
- marginal likelihood
- parameter estimation
- prior knowledge
- machine learning