Degree Name
MS (Master of Science)
Program
Mathematical Sciences
Date of Award
12-2004
Committee Chair or Co-Chairs
Don Hong
Committee Members
Anant P. Godbole, Robert B. Gardner, Tiejian Wu
Abstract
Mass Spectrometry, especially matrix assisted laser desorption/ionization (MALDI) time of flight (TOF), is emerging as a leading technique in the proteomics revolution. It can be used to find disease-related protein patterns in mixtures of proteins derived from easily obtained samples. In this paper, a novel algorithm for MALDI-TOF MS data processing is developed. The software design includes the application of splines for data smoothing and baseline correction, wavelets for adaptive denoising, multivariable statistics techniques such as clustering analysis, and signal processing techniques to evaluate the complicated biological signals. A MatLab implementation shows the processing steps consecutively including step-interval unification, adaptive wavelet denoising, baseline correction, normalization, and peak detection and alignment for biomarker discovery.
Document Type
Thesis - unrestricted
Recommended Citation
Chen, Shuo, "MALDI-TOF MS Data Processing Using Wavelets, Splines and Clustering Techniques." (2004). Electronic Theses and Dissertations. Paper 966. https://dc.etsu.edu/etd/966
Copyright
Copyright by the authors.