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Bayesian inference of multi-point macromolecular architecture mixtures at nanometre resolution
Peter A Embacher, Tsvetelina E Germanova, Emanuele Roscioli, Andrew D McAinsh, Nigel J Burroughs
doi: https://doi.org/10.1101/2021.08.22.457266
Peter A Embacher
1Mathematics Institute and Zeeman Institute, University of Warwick, Coventry, United Kingdom
Tsvetelina E Germanova
2Centre for Mechanochemical Cell Biology and Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
Emanuele Roscioli
2Centre for Mechanochemical Cell Biology and Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
Andrew D McAinsh
2Centre for Mechanochemical Cell Biology and Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
Nigel J Burroughs
1Mathematics Institute and Zeeman Institute, University of Warwick, Coventry, United Kingdom
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Posted August 22, 2021.
Bayesian inference of multi-point macromolecular architecture mixtures at nanometre resolution
Peter A Embacher, Tsvetelina E Germanova, Emanuele Roscioli, Andrew D McAinsh, Nigel J Burroughs
bioRxiv 2021.08.22.457266; doi: https://doi.org/10.1101/2021.08.22.457266
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