Sentence examples for bootstrapping across from inspiring English sources
Differences between species-specific means for diversity and divergence estimates were evaluated through bootstrapping across loci (n = 10 000 replicates).
We estimated a 95% confidence interval for the species survival by bootstrapping across populations using a nonparametric bootstrapping method in the boot package (Canty and Ripley 2014) in R (R Development Core Team, 2012).
For each data set and parameter, we report the mean and confidence interval (CI; calculated by bootstrapping across genes), except for the length variables (CDS length and intron length) where we report medians, because they are less sensitive to outliers.
Using hierarchical clustering and bootstrapping across the 654 genes, we determined that 12 females clustered together with males, while the other ten females (ages varying between 36 and 99 years), formed a distinct group, with expression levels indicating faster age-related changes (Fig. S8).
As many of the loci are coding and the eight pine species are closely related, we chose not to bootstrap across sites within a locus to ensure that bootstrapped alignments would contain reasonable levels of variation.
Within each group and for each pair of ROIs (e.g., 116*115/2 = 6,670 pairs), individual FC values were submitted to independent sampling with replacement (bootstrapped) across subjects.
To determine the genetic relationships among populations, the AFLP-SURV v. 1.0 (Vekemans et al. 2002) and the PHYLIP packages (NEIGHBOR and CONSENSE; Felsenstein 1989) were used to calculate pairwise Nei's genetic distance (Nei 1978) between each population, and to construct a neighbour-joining (NJ) tree based on 10 000 permutated trees, bootstrapped across loci.
These bootstrap results were obtained by re-sampling 10,000 times from each testing fold, calculating the AUC on each bootstrapped sample, and then averaging each of those bootstrapped AUCs across the ten cross-validation folds.
In order to test whether recorded and synthetic topographies differed, we repeated the above procedure, computing in this case the difference between the bootstrapped topographies across electrodes, which led to a distribution of bootstrapped estimates.
Phylogenetic relationships inferred by two likelihood methods were congruent and strongly supported (>0.95 posterior probability; ML bootstrap >85%), across the majority of nodes for multiple partitioning strategies and substitution models.
The mean and standard error of the NPC were determined using 1000 bootstraps across all trials.
