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Systems Analysis of High-Throughput Data

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A Systems Biology Approach to Blood

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 844))

Abstract

Modern high-throughput assays yield detailed characterizations of the genomic, transcriptomic, and proteomic states of biological samples, enabling us to probe the molecular mechanisms that regulate hematopoiesis or give rise to hematological disorders. At the same time, the high dimensionality of the data and the complex nature of biological interaction networks present significant analytical challenges in identifying causal variations and modeling the underlying systems biology. In addition to identifying significantly disregulated genes and proteins, integrative analysis approaches that allow the investigation of these single genes within a functional context are required. This chapter presents a survey of current computational approaches for the statistical analysis of high-dimensional data and the development of systems-level models of cellular signaling and regulation. Specifically, we focus on multi-gene analysis methods and the integration of expression data with domain knowledge (such as biological pathways) and other gene-wise information (e.g.,  sequence or methylation data) to identify novel functional modules in the complex cellular interaction network.

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Authors and Affiliations

  1. Biostatistics Division, Department of Preventive Medicine and Northwestern Institute on Complex Systems, Northwestern University, 680 N. Lake Shore Dr., Suite 1400, 60611, Chicago, IL, USA

    Rosemary Braun

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  1. Rosemary Braun
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Correspondence to Rosemary Braun .

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  1. Departments of Pediatrics and Cell & Molecular Biology, Northwestern University Feinberg School of Medicine and Lurie Children’s Hospital of Chicago, Chicago, Illinois, USA

    Seth Joel Corey

  2. Department of Statistics, Rice University, Houston, Texas, USA

    Marek Kimmel

  3. Northwestern University Comprehensive Cancer Center, Evanston, Illinois, USA

    Joshua N. Leonard

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Braun, R. (2014). Systems Analysis of High-Throughput Data. In: Corey, S., Kimmel, M., Leonard, J. (eds) A Systems Biology Approach to Blood. Advances in Experimental Medicine and Biology, vol 844. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2095-2_8

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