Fractal characteristics of mass spectrometry based cancer data

Pham, Tuan (2007) Fractal characteristics of mass spectrometry based cancer data. In: Proceedings of the 3rd WSEAS International Conference on Cellular and Molecular Biology, Biophysics and Bioengineering (BIO '07), pp. 30-35. From: 3rd WSEAS International Conference on Cellular and Molecular Biology, Biophysics and Bioengineering (BIO '07), 26-28 Aug 2007, Athens, Greece.

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Abstract

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.

Item ID: 3208
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: pattern recognition; bioinformatics; fractal analysis; mass spectrometry data; cancer prediction
ISSN: 1109-2769
Date Deposited: 10 Dec 2009 23:01
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 50%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%
Citation Count from Web of Science Web of Science 2
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