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The "unfiltered DESeq2 results" settings (dds < − DESeq dds, minReplicatesForReplace = Inf) and res < − results(dds, cooksCutoff = FALSE, independent Filtering = FALSE)) were used for differential expression analysis.
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We applied the resulting settings on all of the exome capture data in the final training step.
Third, improving the generalizability of the results, other settings (e.g., larger universities and other countries) could be considered.
Using these results as settings in a network, we can achieve the optimal operation point without any scheduling.
The limited transferability of cost-effectiveness results to other settings stresses the need for setting-specific cost-effectiveness studies.
Finally, we apply our main result to multidimensional settings to obtain new results involving mixed Riemann-Liouville fractional integrals.
The importance level setting here substantially affects your results; try different settings to see how the list changes.
In Section 5, we present experimental results on different settings.
Results and experiment settings are mentioned in "Results and discussion" section.
External Validity is related to the ability of generalizing the experiment results to other settings.
We believe this is not always applicable and can yield poor results in many settings.
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CEO of Professional Science Editing for Scientists @ prosciediting.com