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All methods showed higher accumulation of measured reporters in C6/LacZ cells compared to enzyme deficient parental C6 cells.

Furthermore, CG-MD simulation in agreement with experimental methods showed higher thermostability of mutated SXA which proved applicability of this simulation for thermostability analysis.

It was found that the 5 wt% Ru CaZnMg/Al catalyst prepared by the solid phase crystallization and impregnation methods showed higher catalytic performance than the other catalysts.

Machine-learning methods showed higher averaged accuracy in the simulated data set than Bayesian regression, although with a large standard deviation across replicates.

In the mouse data set, the Affymetrix methods without background correction showed similar magnitude of fold changes to all techniques applied to Illumina data, except vsn, whereas the other Affymetrix methods showed higher fold changes (see Additional file 12).

Combination of the methods showed higher sensitivity (88.0% vs 67.4%) but reduced specificity (88.0%andd 69.5%), but it had the highest number of correctly identified high-risk changes and the highest (79.3%) accuracy.

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Similar(53)

The methods showed high specificity, only showing a little cross-reaction towards CAP succinate.

Both assay methods showed high specificity and acceptable reliability for real serum samples analysis.

The developed methods showed high reproducibility and repeatability (RSD < 5%).

However, all the tested methods showed high values for the correlation coefficient, with an excellent performance-to cost ratio in molecules with similar structures.

Both methods showed high sensitivity to CAP in buffer, and obtained an IC50 value of 0.05 ng mL−1 for Method I and 0.4 ng mL−1 for Method II.

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