By knowing the transfer function for each component, the response of the system can be evaluated by considering the interaction of all components.
Considering target information which is usually accessible, the combination effect of drugs might be evaluated by analyzing the interaction pattern of their targets from a network perspective [ 69].
Changes in effect size over time will be evaluated by adding the interaction of assessment and treatment group to the model.
Effect modification by gender will be evaluated by addition of an interaction term of gender with either birth weight or infant growth.
The intervention effect will be evaluated by the group * time interaction.
Potential predictors of treatment outcome will be evaluated by examining treatment × predictor interactions in linear, logistic and survival models.
Rock/fluid interaction can be evaluated by contact angle, Amott and USBM.
(ix) Protein disorder may also be evaluated by immunochemical methods or via the interaction with molecular chaperones.
As recommended [ 11, 12], patient-ventilator interaction can be evaluated by using the diaphragm electrical activity (EAdi) [ 13].
Thus, representation of data space can be changed, and high-order gene-gene interactions can be evaluated by statistical classifiers.
