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Bootstrap values were derived in PAUP by a fast-heuristic search of 1000 replicates.
Bootstrap values were derived from 1000 pseudo-datasets generated in SEQBOOT.
Bootstrap values were derived from 100re-samplingsre-samplingswarEseqboot/Ednadist/Eneighbour/Consensese also from the Australian Genome Information Service.
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The Gene Set Analysis (GSA) package in R was used to define significantly enriched gene categories, here the "Maxmean" statistics was used to calculate enrichment scores, and permutation based p-values were derived from 1000 bootstrap replicates.
Means, confidence intervals (CI) and p-values were derived from 1000 bootstrap replications of the recycled predictions using the percentile method.
Again, permutation-based p-values were derived.
The percentage of correct classification after cross-validation (CV) to individuals within each of the four study groups compared to that expected by chance; Results for the whole call, noisy segment and harmonic segment are given; p-values are derived from bootstrapping method [ 46]; p ≤ 0.1, * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001 a Number of individuals tested b Expected by chance.
The second p-value is derived using the normal approximation and the bootstrapped standard error se*.
Bootstrap values were calculated for 1,000 replicates.
Bootstrap values were calculated for 1,000 replicates, only bootstrap values greater than 50 are reported.
Maximum likelihood bootstrap values were obtained by running 10,000 replicates.
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