Supervised Methods for Biomarker Detection from Microarray Experiments.

Autor:	Serra A; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; BioMediTech Institute, Tampere University, Tampere, Finland.; Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), University of Tampere, Tampere, Finland., Cattelani L; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; BioMediTech Institute, Tampere University, Tampere, Finland.; Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), University of Tampere, Tampere, Finland., Fratello M; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; BioMediTech Institute, Tampere University, Tampere, Finland.; Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), University of Tampere, Tampere, Finland., Fortino V; Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland., Kinaret PAS; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; BioMediTech Institute, Tampere University, Tampere, Finland.; Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), University of Tampere, Tampere, Finland.; Institute of Biotechnology, University of Helsinki, Helsinki, Finland., Greco D; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. dario.greco@tuni.fi.; BioMediTech Institute, Tampere University, Tampere, Finland. dario.greco@tuni.fi.; Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), University of Tampere, Tampere, Finland. dario.greco@tuni.fi.; Institute of Biotechnology, University of Helsinki, Helsinki, Finland. dario.greco@tuni.fi.
Jazyk:	angličtina
Zdroj:	Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2022; Vol. 2401, pp. 101-120.
DOI:	10.1007/978-1-0716-1839-4_8
Abstrakt:	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. (© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze:	MEDLINE
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