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Fig. 3 | BMC Bioinformatics

Fig. 3

From: A reverse-engineering approach to dissect post-translational modulators of transcription factor’s activity from transcriptional data

Fig. 3

Comparison between MINDy and DMI for the identification of the post-translational modulators of 14 TFs. PPV (Positive Predicted Values) vs. Ranked Modulators plot for MINDy and DMI methods. DMI performance when selecting only the modulators with a fold-change greater than one (FC > 1) (black line), or when keeping only the predicted kinases with a p-value P < 0.05 (blu line). The expected performance of a random algorithm is 0.06 (red dashed line). Since the absolute value of ∆I is not strictly comparable among different TFs, because it also depends on the number of targets, we computed for each tested kinase a normalized ∆I value as: ΔI = (I HIGH  − I LOW )/(I HIGH  + I LOW )

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BMC Bioinformatics

ISSN: 1471-2105

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