Figure 6

Performance statistics of hit ranking methods. (A) The figure shows stability curves using the three different methods (PMM, MTT and RSA). The y-axis denotes the number of genes that were found with probability higher than 0.7 (dashed lines) and 0.9 (solid lines) in the top k (x-axis) of the list of ranked genes. The curves show the average over all eight pathogens. (B) The figure shows hit overlaps of cross-validated siRNA sets between the set of 10 unpooled siRNA libraries and the remaining siRNA library using the three tested gene ranking methods as a function of hit threshold k. The curves show the average over all eight pathogens. (C) The figure shows ROC-curves for PMM, MTT and RSA applied on simulated data containing only hits that were shared between all pathogens. The dashed and solid lines indicate whether the shifts were generated by a low or high shift away from zero. The PMM method outperformed the reference hit detection method. (D) The figure shows ROC-curves for PMM, MTT and RSA applied on simulated data containing only unique hits for all pathogens. PMM and Moderated T-Test performed equally well. (E) The figure shows ROC-curves for simulated data with a mixed hit structure of both unique and shared hits. The PMM method outperformed the reference hit detection method.