Abstract
Mass spectrometry has been actively involved in the areas of healthcare, pharmaceutics, environmental analysis, food industry and forensics due to its ability to provide molecular information at trace levels. Recently, because of the complexity of chemical and biological samples, computer-assisted mass spectra analysis, including signal enhancement, statistics and machine learning, has been drawn more and more attention especially for researches in biomarker identification, sample classification and omics-related areas where high volume of data is generated.
Keywords
Biomarker identification, Data mining, Mass spectrometry, Sample classification, Signal enhancement, Signal processing
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Biomedical Engineering
First Advisor
Ouyang Zheng
Committee Member 1
Edward Bartlett
Committee Member 2
Eugenio Culurciello
Committee Member 3
R.Gram Cooks
Date of Award
January 2015
Recommended Citation
Du, Yuezhi, "Signal enhancement and data mining for biological and chemical samples using mass spectrometry" (2015). Open Access Dissertations. 1110.
https://docs.lib.purdue.edu/open_access_dissertations/1110