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Conference Paper/Proceeding/Abstract 171 views

Microarray Image Enhancement by Denoising using Stationary Wavelet Transform

X.H Wang, R.S.H Istepanian, Yong Hua Song, Henry Wang

Pages: 184 - 189

Swansea University Author: Henry Wang

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DOI (Published version): 10.1109/TNB.2003.816225

Published: 2003
URI: https://cronfa.swan.ac.uk/Record/cronfa1788
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2011-10-01T00:00:00.0000000</datestamp><bib-version>v2</bib-version><id>1788</id><entry>2011-10-01</entry><title>Microarray Image Enhancement by Denoising using Stationary Wavelet Transform</title><swanseaauthors><author><sid>db3557555982ea8e8e16379da63b5e3f</sid><firstname>Henry</firstname><surname>Wang</surname><name>Henry Wang</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2011-10-01</date><abstract></abstract><type>Conference Paper/Proceeding/Abstract</type><journal></journal><volume></volume><journalNumber></journalNumber><paginationStart>184</paginationStart><paginationEnd>189</paginationEnd><publisher/><placeOfPublication/><issnPrint/><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2003</publishedYear><publishedDate>2003-12-31</publishedDate><doi>10.1109/TNB.2003.816225</doi><url/><notes>&lt;p&gt;Noise is a big problem in microarray imaging technology, severely affecting the accuracy of the test results. The introduction of wavelet analysis in microarray denoising was sparked from a successful application of wavelet analysis in power system fault detection and location where very weak fault signals were extracted from strong background noise. Since the publication of this paper, more publications have followed from other groups applying wavelet analysis in denoising microarray images.&lt;/p&gt;</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2011-10-01T00:00:00.0000000</lastEdited><Created>2011-10-01T00:00:00.0000000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>X.H</firstname><surname>Wang</surname><order>1</order></author><author><firstname>R.S.H</firstname><surname>Istepanian</surname><order>2</order></author><author><firstname>Yong Hua</firstname><surname>Song</surname><order>3</order></author><author><firstname>Henry</firstname><surname>Wang</surname><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2011-10-01T00:00:00.0000000 v2 1788 2011-10-01 Microarray Image Enhancement by Denoising using Stationary Wavelet Transform db3557555982ea8e8e16379da63b5e3f Henry Wang Henry Wang true false 2011-10-01 Conference Paper/Proceeding/Abstract 184 189 31 12 2003 2003-12-31 10.1109/TNB.2003.816225 <p>Noise is a big problem in microarray imaging technology, severely affecting the accuracy of the test results. The introduction of wavelet analysis in microarray denoising was sparked from a successful application of wavelet analysis in power system fault detection and location where very weak fault signals were extracted from strong background noise. Since the publication of this paper, more publications have followed from other groups applying wavelet analysis in denoising microarray images.</p> COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2011-10-01T00:00:00.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised X.H Wang 1 R.S.H Istepanian 2 Yong Hua Song 3 Henry Wang 4
title Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
spellingShingle Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
Henry Wang
title_short Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
title_full Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
title_fullStr Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
title_full_unstemmed Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
title_sort Microarray Image Enhancement by Denoising using Stationary Wavelet Transform
author_id_str_mv db3557555982ea8e8e16379da63b5e3f
author_id_fullname_str_mv db3557555982ea8e8e16379da63b5e3f_***_Henry Wang
author Henry Wang
author2 X.H Wang
R.S.H Istepanian
Yong Hua Song
Henry Wang
format Conference Paper/Proceeding/Abstract
container_start_page 184
publishDate 2003
institution Swansea University
doi_str_mv 10.1109/TNB.2003.816225
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 0
active_str 0
published_date 2003-12-31T03:04:40Z
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score 11.016258

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