Ethan R. Deyle

The paper shows that causal relationships can exist in transcriptional networks without correlation, using nonlinear causality tests to detect uncorrelated causal links in yeast and mouse.

This paper extends empirical dynamic modeling to cross-sectional data by using random data projection and validates it on simulated data.