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Statistical methods for analyzing immunosignatures

Abstract 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.
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 m... (more)
Created Date 2011-08-19
Contributor Brown, Justin (ASU author) / Stafford, Phillip (ASU author) / Johnston, Stephen (ASU author) / Dinu, Valentin (ASU author) / College of Health Solutions / Department of Biomedical Informatics / Biodesign Institute / Innovations in Medicine
Type Text
Extent 15 pages
Language English
Identifier DOI: 10.1186/1471-2105-12-349 / ISSN: 1471-2105
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Citation 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
Note The electronic version of this article is the complete one and can be found online at:
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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