Before revision:   For comparison purposes, we applied the Least Square Regression (LSR), Ridge Regression (RR), LASSO, non-negative LASSO (nLASSO), and the Bayesian approaches to four public data sets which have the known interaction pairs of miRNA and mRNA. Comparing to the point estimate algorithms,  the Bayesian methods are able to infer more known interactions and are more meaningful to provide credible intervals to take into account the uncertainty of the interactions of miRNA and mRNA.
After revision:  These approaches can be used to observe the inferred effects of the miRNAs on the targets by plotting the posterior distributions of those parameters. For comparison purposes, we applied the Least Square Regression (LSR), Ridge Regression (RR), LASSO, non-negative LASSO (nLASSO), and the Bayesian approaches to four public data sets which have the known interaction pairs of miRNA and mRNA. Comparing to the point estimate algorithms, the Bayesian methods are able to infer more known interactions and are more meaningful to provide credible intervals to take into account the uncertainty of the interactions of miRNA and mRNA.