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We then established that our calculation was robust to (1) the choice of anchor species for the analysis; (2) whether we consider the entire mouse genome or only those regions alignable with rat, which controls for the potential effect of Mus lineage-specific large indels on the rate of TF binding divergence; and (3) the particular binding threshold chosen to define TFBRs.
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B-score calculation is robust to outliers since it utilizes a non-parametric approach based on Tukey's median polish algorithm (Kafadar, 2003).
Calculated enrichment fractions vary by +/- 6%% across these 10 BLM mixtures, showing that the calculation is robust to spike-in mass and content.
The cross-correlation coefficient between the original QMEAN and the QMEAN score trained on 2/3 of the training set is 0.88 which underlines that the QMEAN score calculation is robust and does not change strongly if applied on folds not used in the generation of the statistical potentials.
As expected, when I≠ D the correlation between stages estimated from the simulations is slightly lower than the calculated values, however, this leads to only a negligible difference between the overall type I error rates and powers showing that the calculation is robust to the degree of dependence between observing each outcome.
All calculations were robust to outliers, with pp values winsorized at 0.01 and 0.99.
Not surprisingly, all calculations are robust to the choice between them or the inclusion of both.
There was robust applause.
Demand was robust.
The evidence was robust.
However the above algorithm is mathematically ill-posed, i.e., the calculation is not robust, as has been reported in several papers (e.g., Wiegelmann and Sakurai (2012)).
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CEO of Professional Science Editing for Scientists @ prosciediting.com