Signal enhancement and data mining for biological and chemical samples using mass spectrometry

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.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Biomedical Engineering

Year

2015

Author dc:creator

• Du, Yuezhi

Contributors dc:contributor

• Ouyang Zheng
• Edward Bartlett
• Eugenio Culurciello
• R.Gram Cooks

• Biomarker identification
• Data mining
• Mass spectrometry
• Sample classification
• Signal enhancement
• Signal processing

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1110

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2326