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in any depth. While these models already provide much
information with crude parameter settings, and are in
a number of cases very robust to parameters, it will become
necessary to measure at least the range of a number of
parameters in specific interaction networks. For example,
the difference between signal damping and oscillation can
reside in how much delay there is in a negative feedback
loop. A near-term goal is to be able to monitor various
components of a network as they interact. This is likely to
involve live imaging facilitated by microfluidics. In the
longer term it may be necessary to design new mathemat-
ical analysis tools that can indicate which parameter
measurements in a complex regulatory network are mini-
mally required to test it aagainst alternatives. For each of
these future directions, it appears that plant models provide
fertile testing grounds.
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