For example, process graph (or P-graph) models have previously been developed for synthesizing single-period polygeneration systems based on the Process Network Synthesis framework.
First is to process data for ocsESTdb: logical relationships among sequence data, annotation information, pathways and networks are constructed based on unigenes assembled with clean raw ESTs.
In this paper, a generic network model, based on Analytic Network Process (ANP) framework, will be proposed to systematically take into account the interrelationship between and within those components simultaneously and finally derive their relative contribution.
Early studies on dataflow modeling are based on the Kahn process network introduced by Kahn in 1974 [18], which is a dataflow network with a local sequential process and global concurrent processes.
We formularized the signaling process based on the network architecture into a discrete dynamic model (see Method).
The method employed in this study has been shown to be useful in constructing PPI networks and identifying the essential functional modules for pathogenic and defensive mechanisms in an infection process based on differential network analysis.
An important goal of the tools in IDA is to develop cancer-associated network models for ARS/AIMPs by integrating both transcriptomic and interaction data and to generate hypotheses for mechanisms of ARS/AIMPs in cancer-related pathophysiological processes based on the network models.
The model developed in this paper is mainly based on the Analytic Network Process (ANP) to define the best alternative and make the fastener selection during the design process easily.
We therefore conclude that our results support the paired-attribute model, suggesting that attributes of an object are integrated with one another to form multiple attribute-pair representations and that many cognitive processes are based on the network of these representations rather than unified object representations.
Based on the analytic network process (ANP), a methodology is designed for an optimal selection of risk management methods and tools.
