Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics.
Karol NienaltowskiMichal WlodarczykTomasz LipniackiMichal KomorowskiPublished in: BMC Syst. Biol. (2015)
Keyphrases
- experimental data
- probabilistic model
- parameter values
- clustering algorithm
- parameter settings
- k means
- clustering method
- prior knowledge
- mathematical models
- linear model
- autoregressive
- self organizing maps
- complex systems
- initial conditions
- linear models
- graph theoretic
- input parameters
- data sets
- dynamic model
- fuzzy clustering
- statistical models
- regression model
- model selection
- least squares
- data points
- decision trees
- genetic algorithm