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Having developed the theoretical model, the corresponding theoretical equations can be validated by generating data from the appropriate equation and matching these data to experimental results.
We then performed the same experiment for this "optimal" network by generating data from this network and then using this data to infer back the original network.
We evaluated 3 approaches to overcome this difficulty by generating data from an existing equation (Verburg).
Simulation of cost and effects for PSA was carried out using multivariate methods 23 by generating data from a Normal Copula.
New technological platforms are also frequently assessed by generating data from control samples, resulting in baseline experimental datasets that can subsequently be used as a reference on these platforms.
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Thus, our bootstrap resamples mimic that state of belief by generating data sets arising from a variety of candidate models in proportion to our confidence that such models are the correct ones.
In contrast to most conventional sequencing platforms, pyrosequencing methods (such as that used by the GS20) generate data from the first base of the fragment sequenced.
We developed the functional relationship by: 1. Generating data from numerical reservoir simulation where we built the numerical simulation models based on the result of a fractional factorial design experiment.
The nested association mapping (NAM) population contains 25 diverse lines (25DL) across today's maize germplasm (McMullen et al. 2009), which was used to facilitate the maize Hapmap2 project by generating NGS data from 103 inbred lines including the NAM population (Chia et al. 2012).
We established the most comprehensive nematode intestinal functional database to date by generating transcriptional data from the dissected intestines of three parasitic nematodes spanning the phylum, and integrating the results with the whole proteomes of 10 nematodes (including 9 pathogens of humans or animals) and 3 host species and 2 outgroup species.
It can be considered as a pre-processor by generating input data derived from a variety of sources; also at each stage of analysis as a data management tool; and finally as a postprocessor for data visualization and planning (Kumar et al. 2013).
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