PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Disease diagnosis from Capillary Electophoresis: Mass Spectrometry
S Rogers, Mark Girolami, R Krebbs and H Mischak
In: Proceedings of the International Conference on Advances in Pattern Recognition, 22-25 Aug 2005, Bath, UK.

Abstract

We investigate the possibility of using pattern recognition techniques to classify various disease types using data produced by a new form of rapid Mass Spectrometry. The data format has several advantages over other high-throughput technologies and as such could become a useful diagnostic tool. We investigate the binary and multi-class performances obtained using standard classifiers as the number of features is varied and conclude that there is potential in this technique and suggest research directions that would improve performance.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1603
Deposited By:Mark Girolami
Deposited On:28 November 2005