Learning time-varying information flow form single-cell epithelial to mesenchymal transition data.
TIDES or ( Trajectory Interpolated DREMI Scores) is an extension of our earlier Density Resampled Estimate of Mutual Information which quantifies time-varying edge behavior over a developmental trajectory. In particular it tracks times during development in which a regulatory relationship is strong (high mutual information) vs times when regulatory relationships are inactive (low mutual information) due to regulatory network rewiring that underlies differentiation. We also predict an overall metric of edge dynamism, which combined with TIDES allows us to predict the effect of drug perturbations on the Epithelial-to-Mesenchymal transition in breast cancer cells.