Your English writing platform
Discover LudwigExact(2)
A bootstrapping algorithm was used to estimate parameters uncertainties.
For the reduced-taxa data set, ML searches were conducted using the software RaxML V.7.0.0 (under the estimated best substitution model GammaInvar) [ 62], and the rapid bootstrapping algorithm was used with an estimated number of bootstraps [ 63].
Similar(58)
A bootstrapping algorithm is used to iteratively build a target classifier from the two domains.
Maximum Likelihood as implemented in RAxML Version 7.2.7.a [ 79] using the rapid bootstrap algorithm was used in order to increase the number of bootstrap replicates to 1,000.
A bootstrap algorithm was used to estimate the variability of the mean SI level for each gene with > 3 shRNAs by randomly sampled from all shRNAs of that gene with replacement.
In case of a varying number of observations drawn from the subjects, the resampling methods of naive bootstrap and the general bootstrap algorithm were used to make inferences (Data Supplement).
The approximate bootstrap confidence algorithm was used to estimate the 95% confidence intervals around the mean cost differences.
Alternatively, a full heuristic algorithm was used for parsimony analysis, supported by bootstrapping for > 100 replicates.
Maximum-likelihood, neighbor-joining, or maximum-parsimony algorithms were used, and bootstrap tests with 500 replicates were performed to support each tree grouping.
Three different algorithms were used.
The bootstrap algorithm with 1000 replications was used to estimate the confidence of each node.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com