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We incorporate cryptographic methods in our protocol to protect the original dataset and all other intermediate results.
Three different charges i.e., GH, AM1BCC and MMFF94 were applied to the dataset and all three sets were subjected to the database alignment by using sybyl7.3 [16].
Along these lines, we note that while both classes B and C did have 10 candidate positions, only 9 of them were invariant and consistently appeared in the top 10 ranks from the full dataset and all leave-one-out studies.
We used version 2 of the dataset and all available experimental replicates.
Nine data sets were analysed: all seven loci separately, all concatenated (complete dataset), and all six nuclear loci concatenated (nuclear dataset).
As this study compared approved platforms for testing, utilized a limited dataset and all analysis was performed on de-identified data, the need for informed consent was waived.
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I don't have time to look at all datasets and all plots, but the trend reported by the met office is irrefutable.
Age, sex, and imaging center information are provided for each of datasets and all subjects have been uploaded to the HELPNI.
Table 1 shows the adjusted Rand index for both datasets and all combinations of input attributes using the dynamic and optimized-cut height combined-clustering methods.
However, our results are consistent over all datasets and all different miRNA target site prediction tools.
Connectivity estimates were generated for all 296 seed region tractography datasets and all 296 anatomic regions.
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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