Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach.
Pablo MeyerThomas CokelaerDeepak ChandranKyung Hyuk KimPo-Ru LohGeorge TuckerMark LipsonBonnie BergerClemens KreutzAndreas RaueBernhard SteiertJens TimmerErhan BilalHerbert M. SauroGustavo StolovitzkyJulio Saez-RodriguezPublished in: BMC Syst. Biol. (2014)
Keyphrases
- parameter estimation
- experimental design
- network topology
- statistical models
- maximum likelihood
- least squares
- model selection
- empirical studies
- random fields
- ad hoc networks
- structure learning
- active learning
- em algorithm
- bayesian networks
- metropolis hastings algorithm
- gene regulatory networks
- wireless networks
- statistical methods
- machine learning methods
- data sets
- reinforcement learning
- feature selection