Description

Background: Immunosignaturing is a new peptide microarray based technology for profiling of humoral immune responses. Despite new challenges, immunosignaturing gives us the opportunity to explore new and fundamentally different research questions. In addition to classifying samples based on disease status, the

Background: Immunosignaturing is a new peptide microarray based technology for profiling of humoral immune responses. Despite new challenges, immunosignaturing gives us the opportunity to explore new and fundamentally different research questions. In addition to classifying samples based on disease status, the complex patterns and latent factors underlying immunosignatures, which we attempt to model, may have a diverse range of applications.

Methods: We investigate the utility of a number of statistical methods to determine model performance and address challenges inherent in analyzing immunosignatures. Some of these methods include exploratory and confirmatory factor analyses, classical significance testing, structural equation and mixture modeling.

Results: We demonstrate an ability to classify samples based on disease status and show that immunosignaturing is a very promising technology for screening and presymptomatic screening of disease. In addition, we are able to model complex patterns and latent factors underlying immunosignatures. These latent factors may serve as biomarkers for disease and may play a key role in a bioinformatic method for antibody discovery.

Conclusion: Based on this research, we lay out an analytic framework illustrating how immunosignatures may be useful as a general method for screening and presymptomatic screening of disease as well as antibody discovery.

Reuse Permissions
  • Downloads
    PDF (568.9 KB)

    Details

    Title
    • Statistical Methods for Analyzing Immunosignatures
    Contributors
    Date Created
    2011-08-19
    Resource Type
  • Text
  • Collections this item is in
    Identifier
    • Digital object identifier: 10.1186/1471-2105-12-349
    • Identifier Type
      International standard serial number
      Identifier Value
      1471-2105
    Note
    • The electronic version of this article is the complete one and can be found online at: http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-12-349

    Citation and reuse

    Cite this item

    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Brown, J. R., Stafford, P., Johnston, S. A., & Dinu, V. (2011). Statistical methods for analyzing immunosignatures. BMC Bioinformatics, 12(1), 349. doi:10.1186/1471-2105-12-349

    Machine-readable links