• Methods Mol. Biol. · Jan 2017

    Review

    Opportunities and Challenges of Multiplex Assays: A Machine Learning Perspective.

    • Junfang Chen and Emanuel Schwarz.
    • Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J 5, Mannheim, 68159, Germany.
    • Methods Mol. Biol. 2017 Jan 1; 1546: 115-122.

    AbstractMultiplex assays that allow the simultaneous measurement of multiple analytes in small sample quantities have developed into a widely used technology. Their implementation spans across multiple assay systems and can provide readouts of similar quality as the respective single-plex measures, albeit at far higher throughput. Multiplex assay systems are therefore an important element for biomarker discovery and development strategies but analysis of the derived data can face substantial challenges that may limit the possibility of identifying meaningful biological markers. This chapter gives an overview of opportunities and challenges of multiplexed biomarker analysis, in particular from the perspective of machine learning aimed at identification of predictive biological signatures.

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