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A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study

URN to cite this document:
urn:nbn:de:bvb:355-epub-408360
DOI to cite this document:
10.5283/epub.40836
Altenbuchinger, Michael ; Zacharias, Helena ; Solbrig, S. ; Schaefer, Andreas ; Buyukozkan, M. ; Schultheiss, U. T. ; Kotsis, F. ; Köttgen, Anna ; Spang, Rainer ; Oefner, Peter J. ; Krumsiek, J. ; Gronwald, Wolfram
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Date of publication of this fulltext: 17 Oct 2019 09:01



Abstract

Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To this end, omics data are integrated with other data types, e.g., clinical, phenotypic, and demographic parameters of categorical or continuous nature. We exemplify this data integration issue for a chronic kidney disease (CKD) study, comprising ...

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