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Seminar - Ryan Gutenkunst
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Speaker:
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Dr. Ryan Gutenkunst
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Title:
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Sloppiness in biochemical modeling and evolution
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Time:
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Tuesday June 9 at 14.00
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Place:
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M2.12
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Abstract:
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Many quantitative modeling efforts, particularly in biology, are
hampered by a profusion of unmeasured parameters. We demonstrate that
biochemical network models exhibit a universal "sloppy" pattern of
sensitivity to parameter variation; different directions in parameter
space vary by orders of magnitude in their constraint. We argue that,
consequently, predictions of future experiments may be usefully
constrained even when the available data only very poorly constrain
parameter values. This suggests a change in mindset for some, away
from a focus on parameters and toward a focus on predictions. We also
briefly explore potential consequences of sloppiness for evolution.
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