Exact(4)
Clearly, it is not discussed herein why discrepant data have been presented but rather mainly where discrepancies come from.
Valuable insights into the origin of these discrepancies come from the following comparisons.
As seen in figure 5 samples S10 and S11, the significant proportion of these larger discrepancies come from the non-articular surfaces.
As to LRT, the discrepancies come from N eutral) predictions with high scores (i.e., the codon is highly constrained or a NS is likely to be deleterious).
Similar(56)
Where are these discrepancies coming from?
Further discrepancies came from measures in the CSF, because both increased and decreased SOD activities were revealed [ 41, 42].
Another strong possible explanation of the discrepancies comes from recent studies on the origin of the miRNAs reported in the literature as circulating cancer biomarkers.
There was also a notably large IQR score of 6.0 regarding the type of pain scale used (with the biggest discrepancies coming from SG and Thailand).
Nsue's story could have been over, but this discrepancy came from eagerness rather than skulduggery.
(Forbes estimates four billion; the biggest discrepancy comes from Trump's assertion that his name alone is worth three billion).
The discrepancy comes from their own views and even biases of what exactly the image means or does.
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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