Error as a function of binned median expression for all regulatory interactions.

Abstract

<p>We further investigate the relationship between the median expression of the regulators and each pipeline's performance in predicting topology. We use relative rank as an estimate of error (as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0013397#pone-0013397-g003" target="_blank">Figure 3</a>). We bin the regulators for all five networks based on their median expression (each of the seven bins has a roughly equal number of regulators). We show the distribution of relative ranks (Error) for each pipeline in each bin of regulator expression. We see that all of the pipelines that incorporate the predictions of tlCLR-Inferelator (pipelines 2,3, and 4) outperform MCZ for regulators with low median expression (bins , ).</p

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