Figure 6From: Predicting cancer involvement of genes from heterogeneous dataContour maps for positive predictive value and sensitivity obtained when varying the thresholds applied by the integrative approach. In each of the following images, the x-axis is the SF-Probability threshold and the y-axis is the cancer linker degree (CLD) threshold. For a given restriction on the number of cancer types in which a gene must be differentially expressed in order to be considered a candidate (no restriction, at least two cancer types and at least 5 cancer types), the positive predictive value and sensitivity are provided for each combination of CLD and SF-Probability. Positive predictive values and sensitivities are shown using colored contour maps, from red (i.e. 0) to turquoise (i.e., 0.7 for positive predictive value and 0.3 for sensitivity). For example, imposing a gene to be differentially expressed in at least two cancer types, with a CLD of 6 and with an SF-Probability of 0.4, the positive predictive value is 0.4 for sensitivity of 0.05.Back to article page