Clinical and biological data integration for biomarker discovery

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In this review the authors have integrated parameters across clinical trials and associated genetic, gene expression and protein data. They provide examples to illustrate the utility of data integration to explore disease heterogeneity and develop predictive biomarkers.

Furthermore, the authors discuss strategies to standardize data across clinical trials, to integrate clinical and biological data and to make data and supporting information broadly accessible. They also describe, in detail, efforts at their institution to implement an integrated database system for the discovery of biomarkers in autoimmune disease, including examples of analyses performed using the system.

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