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|Title:||Signal processing and statistical methods in analysis of text and DNA|
|Citation:||Biomedical applications of micro- and nanotechnology : 16-18 December 2002, Melbourne, Australia / Dan V. Nicolau, Abraham P. Lee (eds.), pp. 231-240|
|Series/Report no.:||Proceedings of SPIE--the International Society for Optical Engineering ; 4937.|
|Conference Name:||International Symposium on Smart Materials, Nano- and Micro-Smart Systems (2002 : Melbourne, Australia)|
|Matthew J. Berryman, Andrew G. Allison, Pedro Carpena, and Derek Abbott|
|Abstract:||A number of signal processing and statistical methods can be used in analyzing either pieces of text or DNA sequences. These techniques can be used in a number of ways, such as determining authorship of documents, finding genes in DNA, and determining phylogenetic and linguistic trees. Signal processing methods such as spectrograms provide useful new tools in the area of genomic information science. In particular, fractal analysis of DNA "signals" has provided a new way of classifying organisms.|
|Description:||© 2003 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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