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Analysis of Immunosignaturing Case Studies


Abstract Immunosignaturing is a technology that allows the humoral immune response to be observed through the binding of antibodies to random sequence peptides. The immunosignaturing microarray is based on complex mixtures of antibodies binding to arrays of random sequence peptides in a multiplexed fashion. There are computational and statistical challenges to the analysis of immunosignaturing data. The overall aim of my dissertation is to develop novel computational and statistical methods for immunosignaturing data to access its potential for diagnostics and drug discovery. Firstly, I discovered that a classification algorithm Naive Bayes which leverages the biological independence of the probes on our array in such a way as to gather more informa... (more)
Created Date 2012
Contributor Kukreja, Muskan (Author) / Johnston, Stephen Albert (Advisor) / Stafford, Phillip (Committee member) / Dinu, Valentin (Committee member) / Arizona State University (Publisher)
Subject Bioinformatics / Biostatistics / Decipher / Immune Temperature / Immunosignaturing / Naive Bayes
Type Doctoral Dissertation
Extent 217 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Biological Design 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis