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For the purposes of this study, we evaluated the approach of combined WES and RNA-Seq on a research basis rather than as a full clinical assay validation.
We have evaluated the approach in three different scientific domains, namely seismology, build- ing performance and computational fluid dynamics.
We evaluated the approach by mixing together in vitro transcribed 28S rRNA targets at varying concentrations (up to 1.0 nM), and hybridizing the 24 mixtures to microarrays (n = 3160 probes, in duplicate).
They have evaluated the approach with the simulation of a multi-step attack (see Fig. 2).
We evaluated the approach with two publicly available databases (Replay-Attack Database and CASIA Face Anti-Spoofing Database).
We first evaluated the approach of producing and maintaining different redox conditions in the radionuclide-aquifer-groundwater system by controlling the air composition inside a glove box.
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We evaluated the approaches by the MSE between the inferred and the true covariate effects.
Furthermore we evaluate the approach by solving a two-phase flow benchmark problem.
Stochastic versions of standard Rayleigh Bènard convection problems are used to evaluate the approach.
Here we evaluate the approach for the design of the image gradient operator.
We evaluate the approach from technological and pedagogical perspectives using the known structural metrics.
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