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Therefore, protein physical interaction degree, i.e., the number of interacting partners of a given protein, can significantly affect gene expression variation.
In the case of protein interaction networks, interaction degree, i.e., the number of interacting partners of a given protein, is one of many factors.
There are two indexes that denote the interaction degree between electric power and NG systems.
which reflects the interaction degree of target user compared with other users in the same sub-network.
The second task analyzes the potential improvements by defining the controller interaction degree via the net load evaluation approach.
The overall strategy can be divided in two main sequential tasks: 1 – defining the optimal decentralized control structure, and 2 – setting the controller interaction degree and its implementation.
The physical protein interaction degree (PPI degree) is defined as the number of interaction partners for each protein.
This hypothesis was confirmed by introducing a new protein interaction degree measure, the co-expressed protein-protein interaction degree (ePPID).
The protein physical interaction degree was not included in this analysis because the interaction between TATA box and physical interaction degree was not detected.
An approximate linear relationship between gene expression variation and interaction degree was observed when the interaction degree was less than 20.
v = α + βd where v is the gene expression variation and d is the interaction degree.
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