Statistical analysis of proteomic mass spectrometry data for the identification of biomarkers and disease diagnosis

Authors

  • T. E. Stanford The University of Adelaide

Keywords:

mass spectra, proteomics, biomarkers, image analysis, pre-processing, missing values, signal smoothing, baseline correction, normalisation, peak detection, peak alignment, linear models, supervised learning

Abstract

DOI: 10.1017/S0004972716000502

Author Biography

T. E. Stanford, The University of Adelaide

Associate Lecturer in Statistics School of Mathematical Sciences Faculty of Engineering, Computer and Mathematical Sciences

Published

2016-08-24

Issue

Vol. 94 No. 2 (2016)

Section

Abstracts of PhD Theses
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