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Two objectives require to be fulfilled: regional activation and permanent maintenance of expression of a small set of driver regulatory genes; and control of large sets of effector genes by these drivers.
Liu et al. in a seminal paper demonstrated how the problem of determining the minimum set of driver nodes required for structural controllability can be mapped into a maximum matching problem [4].
With the second constraint, we question the assumption, common in structural/pinning control and network permeability, that the minimal and optimal set of driver nodes could be practically engaged for network control actions.
So, in many practical situations, it is not an optimization problem that we should solve when social networks are considered (i.e., applying the best inputs to the smallest set of driver nodes in order to reach the optimal final state), rather it is a problem of finding heuristics for maximizing the welfare.
This is problematic since most methods assume there exists a common set of driver genes.
Furthermore, we identified a small set of driver genes that were associated to under-expressed pathways.
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However, this is likely because the multi-factor approach used by the USNVC based on species composition, disturbance history, and ecological settings does not correspond to a single set of drivers across the region.
Secretary of state position demands a different set of drivers – safeguarding national interests.
While there is a risk of getting a less than perfectly matched set of drivers, you might luck out.
Every business goes through a unique learning process, and each industry, company, and product has a different set of drivers.
Technology change and new designs are one set of drivers in these processes of organizational transformation and human adaptation.
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