Published July 24, 2017 | Version v1
Poster Open

Selection of stable biomarker signature for prediction of metabolic phenotypes

  • 1. ETH Zurich, Institute of Molecular Systems Biology / Ph.D. Program in Systems Biology, University of Zurich and ETH Zurich / IBM Zurich Research Laboratory
  • 2. ETH Zurich, Institute of Molecular Systems Biology
  • 3. IBM Zurich Research Laboratory
  • 4. ETH Zurich, Institute of Molecular Systems Biology / Faculty of Science, University of Zurich

Description

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.

 

Notes

The information in this document is provided as is, and no guarantee or warranty is given that the information is fit for any particular purpose. The content of this document reflects only the author's view - the European Commission is not responsible for any use that may be made of the information it contains. The users use the information at their sole risk and liability.

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Funding

PrECISE – PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION 668858
European Commission