Before revision:  Here we propose alternative statistical tests to infer causal effects in the presence of confounding and weak regulations , and implemented both the novel and the traditional causal inference tests in the software package Findr (Fast Inference of Networks from Directed Regulations), achieving thousands to millions of times of speedup due to analytical false positive rate estimation and implementational optimizations. A systematic evaluation using simulated data from the DREAM5 Systems Genetics challenge demonstrated that the novel tests outperformed existing causal inference methods as well as all challenge submissions.
After revision:  Here we propose alternative statistical tests to infer causal effects in the presence of confounding and weak regulations . Findr outperformed existing methods on the DREAM5 Systems Genetics challenge demonstrated that the novel tests outperformed existing causal inference methods as well as all challenge submissions.