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As shown in the Supplementary Material, the latter property allows the bootstrap samples to form the basis of an omnibus test of significance over the entire array.
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Because gene coordination relies on multiple samples to form a single measure, we used the percentile bootstrap method to ensure that the shifts were robust and significant (p<0.05) and then applied the Benjamini-Hochberg FDR [38]. Benjamini-Hochberg FDR [38]
We use 10k bootstrap samples to estimate the confidence interval of the correlation coefficient.
On the other hand, bagging uses bootstrap samples to build the classifiers.
Bootstrap analysis of 1,000 replicates was performed by creating series of bootstrap samples to test tree branch reliability.
The basic method is to take bootstrap re-samples of the known audited data and from these, take smaller bootstrap samples to simulate the missing data.
Based on the recommendations, 2,000 bootstrap samples were drawn to obtain overall model fit and 250 bootstrap samples to obtain parameter estimates and associated standard errors [ 17].
An alternative approach, called bootstrap percentile interval [ 33], uses the empirical quantiles of the bootstrap estimates to form the interval.
Uncertainty in these figures will be assessed using non-parametric bootstrapping (sampling with replacement) to form a distribution for the ICER, potentially including corrections for any differences in the composition of the trial arms in any confounding factors.
The bootstrap samples are formed by first choosing with replacement from the two replicate 96-wells plates and by then choosing with replacement wells of each type (i.e., media-only, fibroblast, mono-culture, co-culture) from the chosen plates.
Bootstrap aggregation: Average the across N bootstrap resampled datasets to form O (Breiman, 1996 ).
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