Fig. 1 | npj Systems Biology and Applications

Fig. 1

From: Integrating personalized gene expression profiles into predictive disease-associated gene pools

Fig. 1

Personalized gene expression analysis. a Example of the distribution of expression levels for the asthma biomarker POSTN. While the group-based comparison (FC = 1.2, p-value <3 × 10−6) suggests a global up-regulation of POSTN, many asthmatic individuals exhibit normal or even down-regulated POSTN levels. b Fraction of case subjects in which genes that are denominated as being DE in a standard group-wise analysis display normal expression levels, or expression levels that suggest a dysregulation in the opposite direction. The distributions show the respective fractions over all group-wise DE genes. All whisker bars throughout this manuscript indicate the 5, 25, 50, 75, and 95th percentiles of the respective distributions. Small numbers within the bars indicate the absolute number of patients that the respective median fraction corresponds to. ce Illustration of the proposed approach towards individual perturbation profiles: instead of comparing two groups of case and control subjects, we compare each case subject individually with the background of control subjects (c). Genes whose expression level is sufficiently far from the range observed in the control subjects d are denoted as perturbed in the respective individual. Together, the perturbed genes constitute a personalized, i.e. subject specific “barcode” (e)

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