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The calculated error in the results showed that the mathematical models of the ANN method predicted the abovementioned parameters with better accuracy in comparison with the EOSs and MSA models (ARD%Z1ANN= 0.047, ARD%ZmANN= 0.022 and ARD % γ ANN) = 0.014).
Neither the test nor the proposed method predicted the web concrete crushing failure of MSW2 and MSW3.
As shown in Fig. 6c, the proposed method predicted the shear responses of MSW2 and MSW3 with reasonable precision.
The computational method predicted the transcriptional control of yeast flavohemoglobin YHB1 by glucose repression, which was subsequently experimentally verified.
Furthermore, concordant SP cleavage sites were predicted by all three methods for DIA1 proteins from 6 species, with very similar cleavage sites predicted for DIA1s from a further 11 species (i.e. where 2 of the 3 methods predicted a cleavage site aligning with the concordant site, and the remaining method predicted the adjacent amino acid as the cleavage site).
On the other hand, our method predicted the binding sites more accurately than AutoDock did (Supplementary Fig. S3).
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Moreover, our secondary structure prediction method predicts the total content of secondary structure in proteins quite accurately.
The Kaplan method: Predict the answer before looking at the options; eliminate answers you know are wrong; plug in the remaining choices; select the best one.
This method predicts the cdf given the settings of the different variables.
Our method predicts the longer-term traffic variation from the monitored traffic data.
When the benchmarked method predicts the relative frequencies of members or elements (e.g., microbial species), one can use the correlation between true and predicted relative frequencies to assess each tool's performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com