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Exact(5)
It is also proved that, our method is no more conservative than an existing method in proportional uncertainty case.
It will be also proved that our method depends on the form of the angular distribution function when tracking the central DOAs.
This proved that our method of combining was effective.
Literature-based causality query, co-expression evidence and alternation of binding free energy also proved that our method is plausible.
We also compared our approach with four widely used prokarkotic gene prediction programs, and the experimental results proved that our method outperform the other four programs.
Similar(55)
Experiments proved that our methods outperformed the state-of-the-art methods.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com