An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling

Abstract

Signalling responses are marked by substantial cell-to-cell variability. Here, the authors propose an information theoretic framework that accounts for multiple inputs and temporal dynamics to analyse how signals flow through shared network components.