Format:
1 Online-Ressource (xi, 186 Seiten, 24572 KB)
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Illustrationen, Diagramme
Content:
In Systems Medicine, in addition to high-throughput molecular data (*omics), the wealth of clinical characterization plays a major role in the overall understanding of a disease. Unique problems and challenges arise from the heterogeneity of data and require new solutions to software and analysis methods. The SMART and EurValve studies establish a Systems Medicine approach to valvular heart disease -- the primary cause of subsequent heart failure. With the aim to ascertain a holistic understanding, different *omics as well as the clinical picture of patients with aortic stenosis (AS) and mitral regurgitation (MR) are collected. Our task within the SMART consortium was to develop an IT platform for Systems Medicine as a basis for data storage, processing, and analysis as a prerequisite for collaborative research. Based on this platform, this thesis deals on the one hand with the transfer of the used Systems Biology methods to their use in the Systems Medicine context and on the other hand with the clinical and biomolecular ...
Note:
Dissertation Universität Potsdam 2021
Language:
English
Keywords:
Hochschulschrift
DOI:
10.25932/publishup-52226
URN:
urn:nbn:de:kobv:517-opus4-522266
URL:
https://d-nb.info/1244290440/34
Author information:
Böttinger, Erwin
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