Inference and uncertainty quantification of stochastic gene expression via synthetic models
Author:
Affiliation:
1. School of Informatics, University of Edinburgh, Edinburgh EH9 3JH, UK
2. School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JH, UK
3. Scuola Internazionale Superiore di Studi Avanzati, 34136 Trieste, Italy
Abstract
Funder
Leverhulme Trust
Engineering and Physical Sciences Research Council
Publisher
The Royal Society
Subject
Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology
Link
https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2022.0153
Reference64 articles.
1. It’s a noisy business! Genetic regulation at the nanomolar scale
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5. Live‐cell imaging reveals the interplay between transcription factors, nucleosomes, and bursting
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