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Our methods were confirmed by real data analysis in soybean and by a series of Monte Carlo simulation experiments.
However, this has not been fully confirmed by real data analysis.
The model of choice is also important; however, the differences between models reported by simulation studies have not always been confirmed by real data analysis.
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It has been proved by simulation and real data analysis that proposed selectors (because they allow us to "select" frequency band) might be equivalent to the spectral kurtosis (SK) in ordinary cases.
To evaluate the peaks detected by our method in real data analysis, we constructed a positive set of 99 true GATA1 occupied segments validated by qPCR in G1E-ER4 cells in a previous study (Zhang et al., 2009).
This is illustrated in the real data analysis in the Real Data Application section below.
It generated meaningful results in real data analysis.
One possible approach to real data analysis is presented below.
The next section illustrates our method on real data analysis.
Followed by real-life data analysis and validated by numerical experiments, this study comparatively analyzes the carbon emissions between whole machine remanufacturing and cannibalization and between component remanufacturing and recycling.
By analyzing this real microarray data analysis with GRACOMICS, we identified several commonly significant DEGs from comparisons from each method, to obtain the most reliable candidate DEGs.
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