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No differences in area ratios for the nucleosides using either column were detected (Fig. 3), proving that our method can be used in multi-column LC mode.
The following analysis suggests that some of them are related to the biological process of glioma, proving that our method was effective in identifying novel glioma related genes.
Furthermore, the integration reduced the dependency of detection accuracy on read conditions (i.e. error rate and length), proving that our method can facilitate the comprehensive analyses of multiple WGBS samples of which read conditions are heterogeneous.
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Furthermore, we prove that our method has (O frac{1}{n})) convergence rate.
We also prove that our method has (O frac{1}{n})) convergence rate.
We conducted experiments on the network environment, to prove that our method has preferable performance.
These findings prove that our method is a valid approach for evaluating nonlinear optimal solutions.
We prove that our method fulfills the balance condition, and provide a numerical simulation.
It proves that our method may handle exception values well to some extent.
It proves that our method is effective for different values of.
It is also proved that, our method is no more conservative than an existing method in proportional uncertainty case.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com