Author: William Fitzsimmons; Robert J. Woods; John T. McCrone; Andrew Woodman; Jamie J. Arnold; Madhumita Yennawar; Richard Evans; Craig E. Cameron; Adam S. Lauring
Title: A speed-fidelity trade-off determines the mutation rate and virulence of an RNA virus Document date: 2018_4_27
ID: 8p24gszj_97
Snippet: Maximum likelihood optimization revealed that a bottleneck of 4 PFU best matched the data. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/309880 doi: bioRxiv preprint 38 with ! = 100 is on the order of 10 !!" and negligible. We then searched for the ! that maximized 973 the sum of the log of this likelihood, which was calculated for each mouse. We found that a ! of 974 2.44 .....
Document: Maximum likelihood optimization revealed that a bottleneck of 4 PFU best matched the data. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/309880 doi: bioRxiv preprint 38 with ! = 100 is on the order of 10 !!" and negligible. We then searched for the ! that maximized 973 the sum of the log of this likelihood, which was calculated for each mouse. We found that a ! of 974 2.44 with a 95% confidence interval of (1.39 -3.82) best fit the data. The mean of a zero-975 truncated Poisson is given by
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