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Here, Pindel [ 22] identified a deletion candidate causing a potential frameshift, which our post-classification method predicted to be a false one; this prediction was confirmed by one of the Sanger sequences.
MHC-I-binding prediction, which was run through the Stabilized Matrix Method, predicted a wide range of MHC-I allele interactions for the proposed T-cell epitopes.
Once again, the Dischinger Method predicted losses higher than the CEB-FIP and ACI 209 Models.
In comparison, our method predicted 244 genes using genomic sequence data from a single organism.
Thus, our evaluation method predicted tableting failure at the commercial scale.
Moreover, the Bayesian method predicted just two of the three facies where Neuro-Bayesian method predicted all the three facies successfully.
Neither the test nor the proposed method predicted the web concrete crushing failure of MSW2 and MSW3.
This method predicted a potential side effect profiles based on the chemical structures and the information on the target protein.
As shown in Fig. 6c, the proposed method predicted the shear responses of MSW2 and MSW3 with reasonable precision.
The developed optimal design method predicted well the static torque capability and failure mode of the press fit joint.
The method predicted with unprecedented accuracy buried water molecule positions, solvated protein conformations, and challenging mutational effects on protein binding.
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