| License: Creative Commons Attribution 4.0 PDF - Published Version (1MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-777712
- DOI to cite this document:
- 10.5283/epub.77771
Abstract
Personalized medicine promises the ability to improve patient outcomes by tailoring treatment recommendations to the likelihood that any given patient will respond well to a given treatment. It is important that predictions of treatment response be validated and replicated in independent data to support their use in clinical practice. In this paper, we propose and test an approach for validating ...

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