1.3k citations · 3.9k across the 27 of their papers we have counts for
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Sloppiness, robustness, and evolvability in systems biology
Bryan C. Daniels, Yan-Jiun Chen, James P. Sethna +2
The functioning of many biochemical networks is often robust -- remarkably stable under changes in external conditions and internal reaction parameters. Much recent work on robustn…
Python Unleashed on Systems Biology
Christopher R. Myers, Ryan N. Gutenkunst, James. P. Sethna
We have built an open-source software system for the modeling of biomolecular reaction networks, SloppyCell, which is written in Python and makes substantial use of third-party lib…
Extracting falsifiable predictions from sloppy models
Ryan N. Gutenkunst, Fergal P. Casey, Joshua J. Waterfall +2
Successful predictions are among the most compelling validations of any model. Extracting falsifiable predictions from nonlinear multiparameter models is complicated by the fact th…
Universally Sloppy Parameter Sensitivities in Systems Biology
Ryan N. Gutenkunst, Joshua J. Waterfall, Fergal P. Casey +3
Quantitative computational models play an increasingly important role in modern biology. Such models typically involve many free parameters, and assigning their values is often a s…