dorsal/arxiv
View SchemaSignal processing and statistical methods in analysis of text and DNA
| Authors | Matthew J. Berryman, Andrew Allison, Pedro Carpena, Derek Abbott |
|---|---|
| Categories | |
| ArXiv ID | physics/0404032 |
| URL | https://arxiv.org/abs/physics/0404032 |
| Journal | Proc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, Ed. Dan V. Nicolau, Melbourne, Australia, December 2002, pp231-240 |
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.
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"abstract": "A number of signal processing and statistical methods can be used in\nanalyzing either pieces of text or DNA sequences. These techniques can be used\nin a number of ways, such as determining authorship of documents, finding genes\nin DNA, and determining phylogenetic and linguistic trees. Signal processing\nmethods such as spectrograms provide useful new tools in the area of genomic\ninformation science. In particular, fractal analysis of DNA ``signals\u0027\u0027 has\nprovided a new way of classifying organisms.",
"arxiv_id": "physics/0404032",
"authors": [
"Matthew J. Berryman",
"Andrew Allison",
"Pedro Carpena",
"Derek Abbott"
],
"categories": [
"physics.data-an"
],
"journal_ref": "Proc. SPIE 4937, Biomedical Applications of Micro- and\n Nanoengineering, Ed. Dan V. Nicolau, Melbourne, Australia, December 2002,\n pp231-240",
"title": "Signal processing and statistical methods in analysis of text and DNA",
"url": "https://arxiv.org/abs/physics/0404032"
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