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Systems Biology for Multiplatform Data Integration: An Overview

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Biomarkers for Immunotherapy of Cancer

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2055))

Abstract

In this chapter, we consider some of the concepts behind multiplatform data integration. First, we examine the types of inferences that can be made using methods that integrate data types. Next, we discuss some broad considerations about methodologies. We conclude with the example of joint analyses of germ line genetic variation, gene expression and complex phenotypes. This chapter draws heavily from analyses that integrate datasets for inference on hereditary aspects of cancer susceptibility. However, these concepts should apply more broadly to other domains.

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Authors and Affiliations

  1. Division of General Internal Medicine, Department of Medicine, Helen Diller Family Comprehensive Cancer Center, Institute for Human Genetics, University of California, San Francisco, CA, USA

    Elad Ziv

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  1. Elad Ziv
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Correspondence to Elad Ziv .

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Editors and Affiliations

  1. NIH, National Cancer Institute, Bethesda, MD, USA

    Magdalena Thurin

  2. Nanostring Technologies, Seattle, WA, USA, ESSA Pharma, South San Francisco, CA, USA

    Alessandra Cesano

  3. Refuge Biotechnologies, Menlo Park, CA, USA

    Francesco M. Marincola

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Ziv, E. (2020). Systems Biology for Multiplatform Data Integration: An Overview. In: Thurin, M., Cesano, A., Marincola, F. (eds) Biomarkers for Immunotherapy of Cancer. Methods in Molecular Biology, vol 2055. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9773-2_28

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  • DOI: https://doi.org/10.1007/978-1-4939-9773-2_28

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9772-5

  • Online ISBN: 978-1-4939-9773-2

  • eBook Packages: Springer Protocols

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