Figure 4.

Noise regularization reduces spurious correlations

(A) After applying noise regularization, previously inflated correlation distributions from each method shifted toward zero. Vertical solid lines indicate correlation medians.

(B) There were substantial improvements of the PPI enrichment in the top correlated genes. Error bars indicate 99% confidence interval based on ten replicates, assuming error follows a Gaussian distribution.

(C) Compared with previous unregularized data (Figure 2C), there are higher levels of agreement among different methods. For example, more than 50% gene pairs were shared between NormUMI and NBR.