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Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining

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Data Mining in Biomedicine

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 7))

Abstract

The importance of neuroproteomic studies is that they will help elucidate the currently poorly understood biochemical mechanisms or pathways underlying various psychiatric, neurological and neurodegenerative diseases. In this chapter, we focus on traumatic brain injury (TBI), a neurological disorder currently with no FDA approved therapeutic treatment. This chapter describes data mining strategies for proteomic analysis in traumatic brain injury research so that the diagnosis and treatment of TBI can be developed. We should note that brain imaging provides only coarse resolutions and proteomic analysis yields much finer resolutions to these two problems. Our data mining approach is not only at the collected data level, but rather an integrated scheme of animal modeling, instrumentation and data analysis.

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Author information

Authors and Affiliations

  1. Center of Neuroproteomics and Biomarkers Research, University of Florida, Gainesville, FL, 32610

    Su-Shing Chen, William E. Haskins, Andrew K. Ottens, Nancy Denslow & Kevin K. W. Wang

  2. Center for Traumatic Brain Injury Studies, University of Florida, Gainesville, FL, 32610

    William E. Haskins, Andrew K. Ottens, Ronald L. Hayes & Kevin K. W. Wang

  3. Department of Psychiatry, University of Florida, Gainesville, FL, 32610

    Ronald L. Hayes & Kevin K. W. Wang

  4. Department of Neuroscience, University of Florida, Gainesville, FL, 32610

    William E. Haskins, Andrew K. Ottens, Ronald L. Hayes & Kevin K. W. Wang

  5. Interdisciplinary Center of Biomedical Research, University of Florida, Gainesville, FL, 32610

    Nancy Denslow

  6. Computer and Information Science Engineering, University of Florida, Gainesville, FL, 32610

    Su-Shing Chen

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  1. Su-Shing Chen
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  2. William E. Haskins
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  3. Andrew K. Ottens
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  4. Ronald L. Hayes
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  5. Nancy Denslow
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  6. Kevin K. W. Wang
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Editor information

Editors and Affiliations

  1. University of Florida, Gainesville, FL

    Panos M. Pardalos

  2. Florida State University, Tallahassee, FL

    Vladimir L. Boginski

  3. Dash Optimization, Englewood Cliffs, NJ

    Alkis Vazacopoulos

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Chen, SS., Haskins, W.E., Ottens, A.K., Hayes, R.L., Denslow, N., Wang, K.K.W. (2007). Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining. In: Pardalos, P.M., Boginski, V.L., Vazacopoulos, A. (eds) Data Mining in Biomedicine. Springer Optimization and Its Applications, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-69319-4_20

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