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## Figure 1.
BayMiR Method. Flowchart of the BayMiR algorithm. For each miRNA, BayMiR first identifies the set
of targets based on the presence of conserved complementary sites to the seed region
of the miRNA in the 3â€™UTR of the target. Next, for each miRNA, BayMiR extracts the
mRNA expression vectors associated with the selected targets from the mRNA gene expression
data set, and averages them to obtain the miRNA activity vector. These miRNA activity
vectors are used as regressors in a Bayesian linear regression model to explain the
down-regulation in the expression level of the target. Finally, BayMiR infers scores
(the regression coefficients) using a penalized likelihood method called elastic net
regression. Each score indicates the strength of miRNA- mediated repression on the
target genes.
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