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Pre-processing of Proteomic Mass Spectra
Proteomic mass spectra of human sera have the potential to increase the detection of early stage internal cancers. To begin, a case study of some of the history surrounding the use of this technology to detect ovarian cancer is presented. Following this, the technical production of these spectra is described, as well as the pre-processing methods necessary to ensure that numerous sources of systematic variation are removed. Possible methods of statistically analysing the data that result are then described. Finally, the pre-processing methods are applied to a prostate cancer dataset and some exploratory statistical analysis of this dataset are undertaken.