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.
Rosenberger, Bernhard Altaner, and Ulrich Gerland
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.bio-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.