Poster Open Access

Selection of stable biomarker signature for prediction of metabolic phenotypes

Cuklina, Jelena; Wu, Yibo; Williams, Evan G.; Rodriguez Martinez, Maria; Aebersold, Ruedi

In biomarker research, the goal is to construct an prediction rule on the basis of a small number of predictors. Formally, this means representing a macro-level response as a function of molecular features (DNA variants, transcript or protein abundancies) with minimal error.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 668858. This work was supported (in part) by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0324-2. The opinions expressed and arguments employed therein do not necessarily reflect the official views of the Swiss Government.


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