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.
Tkachenko and Sergei Maslov
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2026 1verdicts
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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.