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We validate the effectiveness of our methodologies by real data sets from the Abilene and GÉANT backbone networks.
Third, we explicitly considered the limitations of our methodologies (satellite tracking) in conjunction with management strategies.
Lastly, besides the above noted potential shortcomings of our methodologies; two outstanding ambiguities in our study findings warrant further discussion and explanation.
Whilst we have not embarked here on formal validation of identified transcriptional differences to demonstrate the validity of our methodologies as has been done by others [39], our analysis strategy of utilising the entire transcriptome to inform correlation co-efficients rather than filtered gene sets has been previously demonstrated to be optimal [39].
Satellite telemetry has been proven to be an effective means of observing how animal biology and movement relate to political boundaries [25], [33] [36] but this leads to the third critical element in adequate protection: our level of confidence in tracks given known limitations of our methodologies.
In the second case study, we examine the performance of our methodologies in developing classifiers for estrogen receptor (ER) positivity.
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Feel free to read the details of our methodology.
The performance results confirm the effectiveness of our methodology.
Numerical results show the suitability and feasibility of our methodology.
Numerical and empirical results illustrate the performance of our methodology.
Numerical simulations verify the effectiveness of our methodology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com