Fig. 8

Accuracy Assessment. To assess accuracy, we calculate the signal detect slope: the slope of the regression line of observed expression on expected expression for both the Life Technologies (LifeTech) and qpcR algorithms. The ideal signal detect slope is one, representing agreement between observed and expected expression. The signal detect slopes are stratified by pure sample expression. Each point represents an miRNA. Points in the figures below are grey if the signal detect slope is not statistically signficantly different from zero. As such, a grey point corresponding to a signal detect slope well above zero represents a particularly noisy (large residual variance) response