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Title page for ETD etd-07242007-164905


Type of Document Master's Thesis
Author Fananapazir, Nafeh
Author's Email Address Nafeh.Fananapazir@vanderbilt.edu
URN etd-07242007-164905
Title Development and evaluation of a prototype system for automated analysis of clinical mass spectrometry data
Degree Master of Science
Department Biomedical Informatics
Advisory Committee
Advisor Name Title
Constantin Aliferis Committee Chair
Daniel Liebler Committee Member
Dean Billheimer Committee Member
Doug Hardin Committee Member
Ioannis Tsamardinos Committee Member
Shawn Levy Committee Member
Keywords
  • software
  • mass spectrometry
  • bioinformatics
  • machine learning
  • cancer classification
  • Computational biology
  • Cancer -- Diagnosis -- Data processing
Date of Defense 2006-02-27
Availability unrestricted
Abstract
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.

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