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dc.contributor.authorJouenne, Vincent Y.en_US
dc.date.accessioned2014-03-14T20:41:17Z
dc.date.available2014-03-14T20:41:17Z
dc.date.issued2001-06-28en_US
dc.identifier.otheretd-07112001-112357en_US
dc.identifier.urihttp://hdl.handle.net/10919/33960
dc.description.abstractMicroarray technology enables simultaneous gene expression level monitoring for thousands of genes. While this technology has now been recognized as a powerful and cost-effective tool for large-scale analysis, the many systematic sources of experimental variations introduce inherent errors in the extracted data. Data is gathered by processing scanned images of microarray slides. Therefore robust image processing is particularly important and has a large impact on downstream analysis. The processing of the scanned images can be subdivided in three phases: gridding, segmentation and data extraction. To measure the gene expression levels, the processing of cDNA microarray images must overcome a large set of issues in these three phases that motivates this study. This study presents automatic gridding methods and compares their performances. Two segmentation techniques already used, the Seeded Region Growing Algorithm and the Mann-Whitney Test, are examined. We present limitations of these techniques. Finally, we studied the data extraction method used in MicroArray Suite (MS), a microarray analysis software, via synthetic images and explain its intricacies.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartCritical_Issues_in_the_Processing_of_cDNA_Microarray_Images.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectMann-Whitney Testen_US
dc.subjectImage Processingen_US
dc.subjectSegmentationen_US
dc.subjectGene Expressionen_US
dc.subjectData Extractionen_US
dc.subjectSeeded Region Growing Algorithmen_US
dc.subjectAutomatic Griddingen_US
dc.titleCritical Issues in the Processing of cDNA Microarray Imagesen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Scienceen_US
dc.contributor.committeechairHeath, Lenwood S.en_US
dc.contributor.committeememberStruble, Craig A.en_US
dc.contributor.committeememberAlscher, Ruth G.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07112001-112357/en_US
dc.date.sdate2001-07-11en_US
dc.date.rdate2002-07-13
dc.date.adate2001-07-13en_US


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