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Results from the three predictions were next compared to identify conserved binding sites that fall on the evolutionary conserved regions conserved between C57BL/6J and 129S7.
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The root mean square errors in critical temperature predictions were 13.97 K for the whole set, 12.32 K for the training set, and 14.23 K for the prediction set.
For example, the average PPVs of BRmet50 predictions were 82%-89 82%-89 the average PPVs of PMID18271932Sig33 were 74%-77%.
Accuracy of its predictions is 70 89 % [ 7].
The overall prediction rate of iIN800, derived from 3392 total predictions, was 89.36%, with 95.50% sensitivity and 38.69% selectivity.
The mean number of false predictions was 16.24, with a SEM of 0.37.
As a result, the Recall rate and Precision of the first two predictions are 56.28% and 34.87%, respectively.
In rural areas, especially in the southwest of the domain, AOD model predictions are 25 50% higher than the non-AOD model predictions.
The mean length of these predictions is 3665 bp, with the majority (82.81 %) being shorter than 5 kb (Additional file 1: Figure S12).
In southern Vermont, AOD model predictions are 15 25% higher than non-AOD model predictions partially because annual mean AOD model predictions are biased high because of the lack of winter values.
However, using the model described by Equation 5 with this method resulted in poor prediction power – the Pearson's correlation coefficient between the measured values and our predictions was 0.324.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com