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physics.bio-ph2018
Attack and defence in cellular decision-making: lessons from machine learning
Thomas J. Rademaker, Emmanuel Bengio, Paul François
Machine learning algorithms can be fooled by small well-designed adversarial perturbations. This is reminiscent of cellular decision-making where ligands (called antagonists) preve…
physics.bio-ph2017★ 18 cited
Untangling the hairball: fitness based asymptotic reduction of biological networks
Félix Proulx-Giraldeau, Thomas J. Rademaker, Paul François
Complex mathematical models of interaction networks are routinely used for prediction in systems biology. However, it is difficult to reconcile network complexities with a formal u…