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In this article, we concentrate on the differences and relationship between the analytical FMCW SAIS PTRS model and the traditional ones, and validate the significance of the differences, in order to present a principle of choosing proper signal models in different configurations.
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In the following, we offer some numerical simulations for confirming that the numerical conclusions are accordant with theoretical ones and validating the feasibility and efficiency of the optimized SPDMFE extrapolation approach for finding numerical solutions of 2DVWE.
However, in this study we chose to focus on and validate one common denominator for the regulation of the identified differentially expressed genes, i.e. Ifn types I and type II (Ifnγ) [ 35, 49].
Accuracy of genomic predictions across populations was evaluated by cross-validation, which involved training on one population and validating on another population.
Given more available data in the future, we will be able to derive a model from one dataset and validate its performance on another.
The fundamental idea behind COMBINER is to infer candidate modules from data of one condition and validate the inferred modules in other conditions using supervised classification.
Since we had two datasets available, the prudent approach would have been to construct the models using one dataset and validate them in another.
The goal of this study was to evaluate the accuracy of four commercial in situ hybridisation kits (three FISH and one CISH) and validate a protocol for resolving borderline IHC cases.
Our modular security design addresses these new threats, as well as a broad range of traditional ones, and is validated through a series of performance measurements.
The narrative summary tables were completed by one researcher and validated by a second researcher.
The first was the development of a model in one region and validating the outcome in the other region.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com