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The excellent correlation of microarray and qRT-PCR data is demonstrated by an R2 value of 0.994 (see Figure 3).
The high granularity of GSMA data is demonstrated by patterns of individual gene enrichment within a single example of a positively regulated gene list (Fig. 3D).
The good internal validity of our data is demonstrated by the positive correlation between the change in MSNA and the change in plasma norepinephrine levels.
This transition away from claims data is demonstrated by the recent HITECH Act, which requires providers to report key clinical performance metrics directly from their EHR [ 11].
While genome resequencing is becoming more accessible, the ability to find meaningful information in this data, especially when combined with both classical and modern genetic data, is demonstrated by the present approach.
All these results derived from different nuclei and different traceability chains are summarized in Fig. 6, and the consistency of the data is demonstrated by the overlap of their expanded measurement uncertainties.
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The feasibility of the design to extract region-specific biomechanical data was demonstrated by conducting pure-lateral and anterior oblique sled tests using two different surrogates at a velocity of 6.7 m/s.
The reusability of extracted molecular coordinate data was demonstrated by computing Single Point Energies that were in close agreement with the original computed data provided with the articles.
A close-up view about big data was demonstrated by Chen and Zhang, which included applications, opportunities, and challenges of big data; the state-of-the-art techniques and technologies; as well as several underlying methodologies to handle the data deluge [8].
The reproducibility and quality of the data were demonstrated by scatter plot analysis (Fig. 3).
Reliability of these data was demonstrated by comparison to previously described gene product distributions.
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