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Computer simulations also confirm the validity of our techniques.
Simulations on artificial and real-world datasets demonstrate the validity of our techniques for representation and classification, compared with other state-of-the-arts.
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We perform simulations with synthetic data in order to assess the validity of our technique.
Since both comparisons rely on adequate quantification of molar protein abundances, the analytical validity of our technique was first evaluated.
Whereas evidence for the validity of our technique appears strong, the mechanistic basis for the lines produced by animals collected in these experiments is less clear.
Unfortunately, the absence of a "reference standard" method of assessing PWV in the pulmonary vasculature makes it difficult to fully assess the validity of our technique.
Illustrative examples are included to demonstrate the validity and applicability of our technique.
The CFD results also served to support the validity of our experimental technique.
Confirming the validity of our screening technique, the top 10 upregulated and downregulated miRNAs included several miRNAs previously described to be involved in vascularization, proliferation, migration and apoptosis (Tables 1 and 2).
To ensure the validity of our results, basic model-fitting techniques for (1) variable selection, (2) goodness-of-fit (GOF) assessment, and (3) regression diagnostics were all used in our regression analyses.
In addition, we validated and established reliability of our independent measures through statistical techniques to increase the validity of our findings.
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