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These prediction models are acceptable for predicting activity of PXR protein.

However, these prediction model had not very high predictive value (AUC >0.90).

These prediction models could be of use in predicting interspecies transmission of influenza A viruses.

4. Reflect on the reliability of these prediction techniques.

Over time, these prediction markets are likely to become more liquid.

These prediction methods are implemented using WEKA libraries [27].

These prediction techniques leverage various parameters, metrics, and derived inputs.

In this paper we improve both of these prediction methods.

These prediction equations, however, do still have some limitations, especially for large size anchors.

These prediction results provide valuable hints for revealing the structure and function of membrane proteins.

These prediction coefficients were then concatenated to form DWLPC feature vector.

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