Estimating information in time-varying signals
Fig 8
Two-level mutual information estimates from single-cell time-series data for nuclear translocation of yeast transcription factors.
(A, B) Data replotted from Ref [27] for Msn2 (top row), Dot6 (middle row), and Sfp1 (bottom row); early transient responses (A) after nutrient shift at t = 0 min from glucose rich (2%, blue traces) to glucose poor (0.1%, red traces) medium are shown in the left column, stationary responses (B) are collected after cells are fully adapted to the new medium. Sampling frequency is 2.5 min, d = 45, and the number of sample trajectories per nutrient condition is N = 100. Thin lines are individual single cell traces, solid lines are population averages. (C, D) Information estimates for the transient (left, C) and stationary (right, D) response periods. Colored bars use model-free decoding-based estimators as indicated in the legend, gray bar is the knn estimate; error bars computed from estimation bootstraps by randomly splitting the data into testing and training sets.