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To examine whether the Beta-binomial method was generating normally distributed b i on the logit scale, Q-Q plots were generated for the data simulations.
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A term enrichment method was generated to identify words that are preferentially grouped and reflect most significant features of the interactions between two genes (e.g., gadX and uspE) as predicted by our BN method.
This method is generated via applying general changes to Cuckoo Optimization Algorithm (COA) and improving its performance.
For the operator equation (Au=g), a general projection method is generated by two subspace families ({V_{j}}) and ({Y_{j}}) of X.
One of the reasons for the better performance is that Episcore, notes the researchers, is not biased towards well-studied genes, because the data used for the method were generated by throughput technologies without preference to well-studied genes.
In the next step, a variety of microstructures (isotropic, anisotropic and virtual microstructures realized based on the Taguchi method) are generated.
The grid data resulting from this method is generated in a standard file format, which makes it easy to check the grid shape through commercial modeling software.
The data used to test the proposed method were generated by the MATLAB software.
Fractal data based on fast Fourier transformation (FFT) method were generated by a computer code written in MATLAB.
In this part 1, a mathematical model of a climbing robot based on the finite element method (FEM), specifically the stiffness method, is generated.
Dendrograms based on the Jaccard index and the UPGMA method were generated and the degree of genetic diversity between and within taxa was evaluated.
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