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In Silico Models to Validate Novel Blood-Based Biomarkers

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Biomarkers for Alzheimer’s Disease Drug Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2785))

Abstract

Biological validation of preliminary findings is a key prerequisite in biomarker discovery. In recent years, the development of advanced large-scale sequencing technologies combined with high-throughput computational analysis methods led to the extraction of considerable amount of data from healthy and diseased tissues. Stored in large open-access repositories, these data can be accessed and interrogated by researchers aiming at understanding the biological rationale behind their results. These so called in silico analyses, in opposite to in vitro analyses, have gained increasing importance in recent years, becoming a major component of research projects and publications. However, making sense of the large amount of data available can be challenging and may lead to a misinterpretation of the data. To reduce the dimensionality of this data, recent years have seen the development of statistical m\ethods and advanced graph analytics which help researchers summarize the available data and draw appropriate conclusions. In this chapter we will describe three in silico methods to investigate the biological underpinnings of a panel of seven blood-based biomarkers of Alzheimer’s disease.

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Authors and Affiliations

  1. Department of Clinical Chemistry, Pharmacogenomics Research Group, Bern University Hospital & University of Bern, Bern, Switzerland

    Angélique Sadlon

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  1. Angélique Sadlon
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Correspondence to Angélique Sadlon .

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Editors and Affiliations

  1. Department of Psychiatry and Psychotherapy, LMU Klinikum, München, Germany

    Robert Perneczky

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© 2024 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Sadlon, A. (2024). In Silico Models to Validate Novel Blood-Based Biomarkers. In: Perneczky, R. (eds) Biomarkers for Alzheimer’s Disease Drug Development. Methods in Molecular Biology, vol 2785. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3774-6_20

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  • DOI: https://doi.org/10.1007/978-1-0716-3774-6_20

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-3773-9

  • Online ISBN: 978-1-0716-3774-6

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