Key factors for successful data integration in biomarker research

Abstract

Integrating a wide range of biomedical data such as that rapidly emerging from the use of next-generation sequencing is expected to have a key role in identifying and qualifying new biomarkers to support precision medicine. Here, we highlight some of the challenges for biomedical data integration and approaches to address them.

DOI: 10.1038/nrd.2016.74

Cite this paper

@article{Elefsinioti2016KeyFF, title={Key factors for successful data integration in biomarker research}, author={Antigoni L. Elefsinioti and Tanja Bellaire and Albert Wang and Karsten Quast and Henrik Seidel and Michael Braxenthaler and Gernot Goeller and Anastasia Christianson and David B. Henderson and Joachim Reischl}, journal={Nature Reviews Drug Discovery}, year={2016}, volume={15}, pages={369-370} }