A Bayesian inference framework is presented to infer parameters of motif rate equations from ligation count data generated by strand reactor simulations in reactive nucleic acid systems.
Gradient estimators for parameter inference in discrete stochastic kinetic models.arXiv e-prints, 2604:02121
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Bayesian Rate Inference for Sequence Motif Dynamics in Systems of Reactive Nucleic Acids
A Bayesian inference framework is presented to infer parameters of motif rate equations from ligation count data generated by strand reactor simulations in reactive nucleic acid systems.