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Possibly, the marker density in the QTL region needs to be increased before the QTL can be positioned with significantly more accuracy.
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Notably, we found that classification based on codon usage information was significantly more accurate (99% accuracy; 96.6% and 100% sensitivity and specificity, respectively) than classification based on amino acid information alone (89% accuracy; 96.6% and 87.9% sensitivity and specificity, respectively).
Perhaps more importantly, he demonstrated in The Effects of a Full-Employment Policy on Economic Stability: A Formal Analysis, in Essays in Positive Economics (1953), that, in order to enhance welfare, the authorities had to be able to predict events with significantly more than 50% accuracy.
There should be "significantly more emphasis" on the quality and accuracy of writing, it says.
In Table 2, for example, the difference in accuracy between ASGM and BSAM was not significant with 500 markers for distantly related breeds when 1000 records were used for training, but when the number of records for training was increased to 4000, BSAM was significantly more accurate, with the difference in accuracies between ASGM and BSAM changing from 0.02 to -0.11.
This was significantly more favorable than the surgeon's clinical accuracy of 71%% (p < 0.005) [17].
Compared with matched groups of nonketamine polydrug users and non-drug-using control subjects, ketamine users made significantly more antisaccade errors but were no different on spatial accuracy and latency of antisaccades or on accuracy of smooth pursuit.
We show that the Twitter-specific lexicon is significantly more effective in terms of classification recall and accuracy metrics.
It showed only a gradual decrease in reconstruction accuracy with increasing evolutionary divergence, being significantly more accurate than any other method tested.
The proposed schemes indeed achieve the design accuracy, and further show stability restrictions that are not significantly more severe than those of popular first order schemes.
It had only fair accuracy (AUC 0.73) at differentiating MCI from dementia, although it was significantly more accurate than the SMMSE AUCC 0.60).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com