Association Factor for Identifying Linear and Nonlinear Correlations in Noisy Conditions.

Our results show that the proposed method is robust in two ways. First, it can identify both linear and nonlinear associations. Second, the proposed Association Factor is reliable in both noiseless and noisy conditions.