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Putative QTL were declared at two significance thresholds: significant (genome-wide type I error α = 0.05) and suggestive (chromosome-wide type I error rate α = 0.05).
Pearson's correlation analyses were carried out using two significance levels (P ≤ 0.05 and 0.01).
The results are shown in Table 1 for two significance levels corresponding to the boundary values (0.05 and 0.001).
It uses critical values that are only available for the upper tail of the variance distribution, at selected numbers of data sets, selected numbers of replicates per set and only at two significance levels.
We selected two significance thresholds which led to family-wise error rates of roughly 10−10 and 10−26, and identified 1193 and 429 genes, respectively, with at least one cryptic initiation event (Table S1).
The two significance parameters, α and β, allow for a controlled tuning of filtering threshold.
Similar(46)
For the (1 – Pearson correlation) dissimilarity - average linkage combination TBEST outperforms the other two significance-based algorithms and matches the truth perfectly in a broad range of the values of α.
Finally, the findings of this study showed that five significance predictors contributed 60.40 percent of the total variance of risk management.
Three significance tests were applied, including the matched pair (MP) sentence segment (word error) test, the signed paired (SI) comparison test (speaker word accuracy rate), and the Wilcoxon (WI) signed rank test (speaker word accuracy rate).
We performed seven significance tests with a family-level significance of <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0007481.e083.PNG" class= inline-graphic"/>.
Three significance levels including chromosome-wide, genome-wide and suggestive were considered in this study.
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