Attack and defence in cellular decision-making: lessons from machine learning

no code implementations • 10 Jul 2018 • Thomas J. Rademaker, Emmanuel Bengio, Paul François

We then apply a gradient-descent approach from machine learning to different cellular decision-making models, and we reveal the existence of two regimes characterized by the presence or absence of a critical point for the gradient.

BIG-bench Machine Learning Decision Making