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To this end, we benchmarked the six aggregative variant association tests using the benchmarking pipeline from Yandell et al. 2011.
In Allegretto, Corcoran, and Mishel (2008) we benchmarked the CPS-ORG data to annual data from the March CPS.
In simulation, we benchmarked the contrast effectiveness of the best found transmitted stochastic commands and the usual fixed-frequency command.
We benchmarked the method against several existing techniques using numerical examples and found that it compared favorably in terms of solution quality and computational efficiency.
We benchmarked the ASTEROIDS algorithm against all stable versions of SCOP from 1.55 to 1.75 using the method described in the Benchmarking in order to determine whether a subset of the predictions were 100% reliable.
We benchmarked the solutions generated by using the permeability models with three common assumptions against our "accurate" solutions by using permeability models without these assumptions for the full spectrum of boundary conditions, and concluded that these common assumptions could produce unacceptable errors.
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We benchmarked on the OMIM-derived benchmark set the level of annotation added by the network-based method from both a quantitative and qualitative point of view.
We then benchmarked the capability of BACH in producing "funnel-shaped" distributions.
We also benchmarked the capability of BACH in recognizing models that are close to the native structure.
We then benchmarked the data by ranking it according to utility spend as well as externally against information from organisations including the Carbon Trust and the Chartered Institution of Building Services Engineers.
We also benchmarked the performance of BACH over decoy sets that are considered the standard ones to test the scoring functions: semfold26, 4state25, fisa5 and RosettAll27.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com