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Signal analysis methods for biologic...

Bloch, Karen M.

Signal analysis methods for biological data.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Signal analysis methods for biological data./
作者:	Bloch, Karen M.
面頁冊數:	97 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2533.
Contained By:	Dissertation Abstracts International65-05B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	Download fulltext (下載全文)
ISBN:	0496810138

Signal analysis methods for biological data.
Bloch, Karen M.

Signal analysis methods for biological data. - 97 p.

Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2533.

Thesis (Ph.D.)--University of Delaware, 2004.

Bioinformatics is a data rich field which provides unique opportunities for the signal processing community. This dissertation presents novel application of signal processing methods to the data derived from protein sequences, gene expression and cheminformatic molecular descriptors. The insights derived from these methods illustrate that signal processing technology have implications for generating meaningful biological information from the vast amounts of raw genomic and proteomic sequence data that are now available.

ISBN: 0496810138Subjects--Topical Terms:

170927
Engineering, Electronics and Electrical.

Signal analysis methods for biological data.
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500 $a Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2533.
500 $a Professor in charge: Gonzalo R. Arce.
502 $a Thesis (Ph.D.)--University of Delaware, 2004.
520 $a Bioinformatics is a data rich field which provides unique opportunities for the signal processing community. This dissertation presents novel application of signal processing methods to the data derived from protein sequences, gene expression and cheminformatic molecular descriptors. The insights derived from these methods illustrate that signal processing technology have implications for generating meaningful biological information from the vast amounts of raw genomic and proteomic sequence data that are now available.
520 $a The amino acid sequence of a protein is typically considered as a twenty symbol alphabet sequence, but it may also be considered as a sequence of numerical values reflecting various physicochemical aspects of the amino acids (e.g. hydrophobicity or bulkiness). Analysis of the numerical representation of such sequences is capable of identifying characteristic patterns which are too weak to be detected as patterns of symbols. Previous work showed that through frequency analysis, a common characteristic frequency component could be detected between proteins of a given functional family, but this analysis gave no indication which residues contributed to the observed frequency component. By using the Wigner-Ville time-frequency transform, we demonstrate that the characteristic frequency information can be obtained and that secondary structural features and biologically active sites can also be identified.
520 $a The selection of the particular numerical representation of the amino acids in a given sequence will influence the spectral signatures obtained through the Wigner-Ville transform. We apply information theory to select appropriate numerical mappings of amino acid sequences which are then appropriate for the time-frequency analysis method.
520 $a In addition to methods for analyzing protein data, we introduce the use of median correlations to extract relationships within gene expression experiments. This method can yield more accurate clustering of genes which leads to a greater understanding of gene relationships and functions.
520 $a The interrelated field of cheminformatics has emerged as a discipline to analyze chemical attributes such as molecular structure and physical/chemical properties. A significant practical problem for chemical, agrochemical, pharmaceutical and biotechnology companies involves the use of cheminformatics to prioritize candidate chemical compounds to be subjected to high throughput screening. We introduce the use of approximate message authentication codes as a mechanism to prioritize such compounds.
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