Mass Spectrometry (MS) is emerging as a breakthrough mass-throughput technology believed to have powerful potential for producing clinical diagnostic and prognostic models and for identifying relevant disease biomarkers. A major barrier to making mass spectrometry clinically useful and to exploring its potential in an efficient and reliable manner is the challenge posed by data analysis of proteomic spectra in order to produce reliable predictor models of disease and clinical outcomes.
This thesis describes the development and evaluation of a fully-automated software system (FAST-AIMS), capable of analyzing mass spectra to produce high-quality diagnostic and outcome prediction models.
Identifer | oai:union.ndltd.org:VANDERBILT/oai:VANDERBILTETD:etd-07242007-164905 |
Date | 31 July 2007 |
Creators | Fananapazir, Nafeh |
Contributors | Constantin Aliferis, Doug Hardin, Daniel Liebler, Shawn Levy, Ioannis Tsamardinos, Dean Billheimer |
Publisher | VANDERBILT |
Source Sets | Vanderbilt University Theses |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | http://etd.library.vanderbilt.edu/available/etd-07242007-164905/ |
Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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