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Fractal characteristics of mass spectrometry based cancer data
James Cook University, Bioinformatics Applications Research Centre, Information Technology Discipline, School of Mathematics, Physics, and Information Technology, Townsville, Australia.ORCID iD: 0000-0002-4255-5130
2007 (English)In: WSEAS Transactions on Mathematics, ISSN 1109-2769, E-ISSN 2224-2880, p. 30-35Article in journal (Refereed) Published
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Abstract [en]

This paper addresses the fractal analysis of mass spectrometry data for the prediction of complex diseases. We studied ovarian and prostate cancers as examples of the analysis. Experimental results show that the fractal dimensions of cancer states distinctively tend to have higher values than those of the control states. High values of the Hurst exponent of the mass spectrometry data under study suggest the persistent behavior of the datasets and the reliability of the fractal dimensions.

Place, publisher, year, edition, pages
World Scientific and Engineering Academy and Society, 2007. p. 30-35
Keyword [en]
pattern recognition; bioinformatics; fractal analysis; mass spectrometry data; cancer prediction
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-125038OAI: oai:DiVA.org:liu-125038DiVA: diva2:902749
Conference
2007 WSEAS International Conference on Cellular & Molecular Biology, Biophysics & Bioengineering
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2017-12-08Bibliographically approved

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Pham, Tuan D

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