HIGHLIGHTS
SUMMARY
Biomarkers are commonly defined as measurable characteristics that can be used as indicators of normal biological processes, pathogenic processes or responses to an exposure or intervention; they can be of different nature, being derived from molecular, histologic, radiographic, or physiologic data. While most genetic analysis approaches focus on individual genetic determinants and are therefore unlikely to characterize the network architecture of complex diseases comprehensively, the new drive toward precision medicine is increasing the need for more comprehensive disease biomarkers. Modeling "networks as biomarkers" would thus allow to consider, at the same time, the different . . .
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