For different activities, the profile is designed specifically according to the features of the activity.
Communication graphs have shown to be strongly clustered and to change over many time scales, even if the structural features of the activity network remain stable over time [13].
Because these two different classes of feature variations were not manipulated independently in the present study, this design might be conceived as representing only two conditions of a larger 2 × 2 design that would have fully dissociated the spatial embedding/embodying features of the activity from the temporal distribution of the activities.
However, the important features of the activity or property of the molecule are difficult to extract because highly similar parts are represented by different descriptions and the relationships between them may not be generated or may be buried in many irrelevant relationships.
The temporal features of the activity play an instructive role in motor neuron pathfinding [12], [13], and possibly the flexor-extensor and interlimb alternations for stepping [14].
In addition, other features of the activity profile do change as a result of a prolonged thermophase.
To analyze the importance of each feature to the activity, both the confidence and support are taken into account for each feature in each rule.
The principles shown in this paper could be used in future studies to calculate the importance of a feature for the activity against a specific target.
With the reported theory that FAS-generated signals may be essential to support the differentiation of 3 T3-L1 preadipocytes [ 43], we proposed that resveratrol exhibited inhibition against 3 T3-L1 preadipocytes due to its feature of inhibiting the activity of FAS.
