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For the search method, the existing tools compare microarray data only by calculating the number of overlap genes, but GEM-TREND uses gene-expression pattern matching algorithm based on the nonparametric, rank correlation statistics.
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The comparison confirms that our method outperforms the existing method by 19% to 21%.
We sought to compare the new lithium dilution method with the existing method.
In Results section, we compare our method with the existing methods in different perspectives and demonstrate the performance of our new method.
Experimental results demonstrate that the proposed method outperforms the existing methods in accuracy and visual impression.
Experimental results and statistical analysis validate that the proposed method outperforms the existing methods.
The performance analyses and experimental verifications show that the HS-AASM method outperforms the existing methods.
Results show that the proposed method outperforms the existing methods in terms of convergence performance and forecasting accuracy.
Monte Carlo simulations are applied to evaluate the performance of the proposed method and the existing methods.
Table 2 compares the results for the proposed method with the existing methods.
Next, we show results of quantitative evaluation for the proposed method and the existing methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com