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Bayesian inference of PolII dynamics over the exclusion process
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Cavallaro, Massimo, Wang, Yuexuan, Hebenstreit, Daniel and Dutta, Ritabrata (2021) Bayesian inference of PolII dynamics over the exclusion process. (Submitted)
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WRAP-Bayesian-inference-PolII-dynamics-over-the-exclusion-process-Cavallaro-2021.pdf - Submitted Version - Requires a PDF viewer. Download (1123Kb) | Preview |
Abstract
Transcription is a complex phenomenon that permits the conversion of genetic information into phenotype by means of an enzyme called PolII, which erratically moves along and scans the DNA template. We perform Bayesian inference over a paradigmatic mechanistic model of non-equilibrium statistical physics, i.e., the asymmetric exclusion processes in the hydrodynamic limit, assuming a Gaussian process prior for the PolII progression rate as a latent variable. Our framework allows us to infer the speed of PolIIs during transcription given their spatial distribution, whilst avoiding the explicit inversion of the system's dynamics. The results may have implications for the understanding of gene expression.
| Item Type: | Submitted Journal Article | ||||||||||||||||||||||||||||||||||||||||||
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| Subjects: | Q Science > QA Mathematics Q Science > QH Natural history > QH426 Genetics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||||||||||||||||||||||||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Genetic transcription -- Mathematical models, Gaussian processes, Bayesian statistical decision theory, Mathematical statistics, Enzymatic analysis, Gene expression -- Statistical methods | ||||||||||||||||||||||||||||||||||||||||||
| Official Date: | 2021 | ||||||||||||||||||||||||||||||||||||||||||
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| Publication Status: | Submitted | ||||||||||||||||||||||||||||||||||||||||||
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