Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.
Polina A. LakrisenkoPaul StaporStephan GreinLukasz PaszkowskiDilan PathiranaFabian FröhlichGlenn Terje LinesDaniel WeindlJan HasenauerPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- steady state
- efficient computation
- markov chain
- experimental data
- operating conditions
- product form
- genetic regulatory networks
- state dependent
- complex systems
- ordinary differential equations
- heavy traffic
- explicit expressions
- reinforcement learning
- single server queue
- fluid model
- service times
- queueing networks
- gene regulatory networks
- queue length
- biological systems
- mathematical models
- intelligent agents