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Supervised Methods for Biomarker Detection from Microarray Experiments

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Microarray Data Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2401))

Abstract

Biomarkers are valuable indicators of the state of a biological system. Microarray technology has been extensively used to identify biomarkers and build computational predictive models for disease prognosis, drug sensitivity and toxicity evaluations. Activation biomarkers can be used to understand the underlying signaling cascades, mechanisms of action and biological cross talk. Biomarker detection from microarray data requires several considerations both from the biological and computational points of view. In this chapter, we describe the main methodology used in biomarkers discovery and predictive modeling and we address some of the related challenges. Moreover, we discuss biomarker validation and give some insights into multiomics strategies for biomarker detection.

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Authors and Affiliations

  1. Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

    Angela Serra, Luca Cattelani, Michele Fratello, Pia Anneli Sofia Kinaret & Dario Greco

  2. BioMediTech Institute, Tampere University, Tampere, Finland

    Angela Serra, Luca Cattelani, Michele Fratello, Pia Anneli Sofia Kinaret & Dario Greco

  3. Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), University of Tampere, Tampere, Finland

    Angela Serra, Luca Cattelani, Michele Fratello, Pia Anneli Sofia Kinaret & Dario Greco

  4. Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland

    Vittorio Fortino

  5. Institute of Biotechnology, University of Helsinki, Helsinki, Finland

    Pia Anneli Sofia Kinaret & Dario Greco

Authors
  1. Angela Serra
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  2. Luca Cattelani
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  3. Michele Fratello
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  4. Vittorio Fortino
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  5. Pia Anneli Sofia Kinaret
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  6. Dario Greco
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Corresponding author

Correspondence to Dario Greco .

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Editors and Affiliations

  1. Dipartimento di Giurisprudenza, Economia e Sociologia, Università degli Studi “Magna Graecia” di Catanzaro, Catanzaro, Italy

    Giuseppe Agapito

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Serra, A., Cattelani, L., Fratello, M., Fortino, V., Kinaret, P.A.S., Greco, D. (2022). Supervised Methods for Biomarker Detection from Microarray Experiments. In: Agapito, G. (eds) Microarray Data Analysis. Methods in Molecular Biology, vol 2401. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1839-4_8

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  • DOI: https://doi.org/10.1007/978-1-0716-1839-4_8

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1838-7

  • Online ISBN: 978-1-0716-1839-4

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