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First, the let-7a binding site on CCR7 3'UTR was predicted by using the TargetScan microRNA-binding prediction program.
A clinical boost effect was predicted by using physiologically based pharmacokinetic (PBPK) modeling.
The thermal behavior was predicted by using an analysis software (IDEAS).
Oxygen mass transfer in the ditch was predicted by using a unit analysis method.
Buckling load was predicted by using both linear and nonlinear FE analysis.
Moisture content of flowing material was predicted by using a permittivity-based density-independent moisture calibration function.
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In second stage, protein-DNA binding mode is predicted by using the prediction results of the previous stage.
Transmembrane domains were predicted by using TMHMM server v. 2.0 [ 46] and the SOSUI protein prediction server [ 47].
WHAT, according to the article, might be predicted by using the data?
For these datasets absorptivities were predicted by using developed ANN model.
If not, another mode for coding is predicted by using Markov chain.
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