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Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level.
Andela Davidovic
Remy Chait
Grégory Batt
Jakob Ruess
Published in:
PLoS Comput. Biol. (2022)
Keyphrases
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complex systems
biological systems
experimental data
statistical models
random fields
machine learning
probabilistic model
maximum likelihood
bayesian inference
stochastic model
stochastic processes
stochastic models
markov chain monte carlo methods