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However, tree topology comparisons of data from alignments containing a maximum of 20% gapped columns in the UP-50 L and SP-50 L datasets indicate that there is a statistically significant difference between the tree topologies of interacting and non-interacting proteins.
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The enriched motifs are quite different in both datasets, indicating that there are multiple regulatory avenues to regulate the RNA methylome through sequence specificity.
Also, all p-values for the explanatory variables exhibited homogeneous variable distribution across the three derivation datasets, indicating that there was no need to investigate potential problems in the use of these explanatory variables at this stage.
An analysis of the Bristol open dataset indicates that there are numerous possibilities for the development of smart solutions.
The dataset indicates that there may be a possible role of preoperative radiological characteristics for providing information previously only available postoperatively to aid management decisions.
Our finding of substantial biases in the Kiryu et al. (2007a) dataset indicates that there are systematic departures of predictions from the reference structures.
Experimental results on two large real datasets indicate that the proposed incremental slope-one recommenders can correctly reflect the increments of dynamic datasets with high computational efficiency.
Therefore, multiple genetic datasets indicate that dogs originate from a large number of domesticated wolves.
The presence of a number of other such correlations in our dataset might indicate that there are further, as yet undetected, interactions between starch synthetic and starch degradative enzymes.
We compared the number of mutations observed from the COSMIC database with those from whole-genome sequencing data and found that there is a positive correlation between two datasets, indicating that COSMIC data contain reliable mutation information (Additional file 3).
On the other hand, the fact that the two CYP450 external datasets show quite different profiles with KDE, and this same technique has very different outcomes between all three datasets indicates that this method is not reliable as a standalone measure for AD determination and there may be other factors that should be taken into account.
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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