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Ab initio gene models are predicted using the computational gene prediction programs: GeneMarkS [50], Glimmer3 [51], MetaGene [52], Zcurve [53], GISMO [54], and Genewise [55].

At the prediction step, the state and covariance are predicted using the estimate of the previous step.

The existence probabilities for each camera are predicted using the binary images from the background subtraction.

Geometries, energies, supramolecular interactions and other properties are predicted using density functional theory methods.

374 interactions between 22 diseases and 183 drugs are predicted using our proposed regression model.

The local vibrations are predicted using an isolated part of the panel, the I-beam model.

These thermal/hydraulic behaviors are predicted using the local thermal equilibrium and nonequilibrium models.

Temporal changes are predicted using a probabilistic Markovian process and spatial interaction through cellular automation.

Chaos and bifurcation are predicted using Lyapunov exponent and bifurcation diagram.

Substantial productivity improvements are predicted using the REED process compared to other systems.

Optimum cure time of the rubber compounds are predicted using ANFIS model.

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