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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/UNkhu
Repositorysid.inpe.br/sibgrapi@80/2008/07.18.17.03
Last Update2008:07.18.17.03.27 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2008/07.18.17.03.29
Metadata Last Update2022:06.14.00.13.47 (UTC) administrator
DOI10.1109/SIBGRAPI.2008.14
Citation KeyNomaPardCesa:2008:StMa2D
TitleStructural Matching of 2D Electrophoresis Gels using Graph Models
FormatPrinted, On-line.
Year2008
Access Date2024, Apr. 28
Number of Files1
Size906 KiB
2. Context
Author1 Noma, Alexandre
2 Pardo, Alvaro
3 Cesar-Jr, Roberto M.
Affiliation1 IME-USP, Department of Computer Science, University of Sao Paulo, Brazil
2 DIE, Faculty of Engineering and Technologies, Catholic University of Uruguay
3 IME-USP, Department of Computer Science, University of Sao Paulo, Brazil
EditorJung, Cláudio Rosito
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
Conference LocationCampo Grande, MS, Brazil
Date12-15 Oct. 2008
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-18 17:03:29 :: alex.noma@gmail.com -> administrator ::
2009-08-13 20:38:56 :: administrator -> alex.noma@gmail.com ::
2010-08-28 20:03:22 :: alex.noma@gmail.com -> administrator ::
2022-06-14 00:13:47 :: administrator -> :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywords2D electrophoresis gels
graph matching
structural pattern recognition
deformation graph
graph models
structural matching
Abstract2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation and the goal is to perform a differential analysis between pairs of images to study changes in protein content. It is thus necessary to register two images by finding spot correspondences. Although it may seem a simple task, generally, the manual processing of this kind of images is very cumbersome. The complete task of individual spot matching and gel registration is a complex and time consuming process when strong variations between corresponding sets of spots are expected. Besides, because an one-to-one mapping is expected between the two images, missing spots there may exist on both images (i.e. spots without correspondence). In order to solve this problem, this paper proposes a new distance together with a correspondence estimation algorithm based on graph matching which takes into account the structural information between the detected spots. Each image is represented by a graph and the task is to find an isomorphism between subgraphs. Successful experimental results using real data are presented, including a comparative performance evaluation. .
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Structural Matching of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Structural Matching of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UNkhu
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/UNkhu
Languageen
Target Filenoma-StructuralElectrophoresis.pdf
User Groupalex.noma@gmail.com
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SG4TH
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.04.55 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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