Figure 4.

Correlation of mirSVR scores with log expression change for genes with single canonical (green) and non-canonical sites (blue). mirSVR scores are divided into equal size bins (percentile) and the mean and standard deviation of the corresponding log expression changes are plotted for each bin. (a) Before sigmoid transformation, the mirSVR scores have non-linear correlation with the mean (Z-transformed) observed log expression change of the genes. Canonical target sites are generally more effective sites than non-canonical sites as shown by their more negative mirSVR scores and corresponding log expression change. Where scores for non-canonical sites fall in the same range as canonical sites, the corresponding mean expression change also fall in the same range, indicating that non-canonical and canonical sites with comparable scores inhibit their targets with similar efficiency. (b) After transforming with a sigmoid transfer function (fitted on the training data), mirSVR scores correlate linearly with log expression change and therefore can be used for analysis of target site efficiency; moreover, transformed site scores can be added to score genes with multiple sites.

Betel et al. Genome Biology 2010 11:R90   doi:10.1186/gb-2010-11-8-r90
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