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Protein properties were predicted from sequence using a wide array of prediction methods.
Six epitopes were predicted from CD99, CD81 and CD99L2 proteins.
Potential additives were predicted from the correlation model.
The upward jet height and the temperature distribution were predicted from the experiment.
The output nodes consisted of yield isofrequency classes, which were predicted from the three trained networks.
Outcome measures: The three-dimensional spine loads were predicted from a well-established electromyography-assisted model.
The critical times for stable diffusion were predicted from this critical Rayleigh number.
The required densities were predicted from our previous ion-contribution equation of state.
However, significant differences in bacteria distributions and breakthrough curves were predicted from the two adsorption models.
Furthermore, heat distortion temperatures were predicted from the dynamic mechanical properties of nanocomposites.
Pore pressures were predicted from these two seismic sections using modified Eaton's method and fracture gradients were predicted as well.
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