Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array

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dc.contributor.advisorBlackburn, Jonathanen_ZA
dc.contributor.advisorMulder, Nicolaen_ZA
dc.contributor.advisorKumuthini, Juditen_ZA
dc.contributor.authorSafari Serufuri, Jean-Michelen_ZA
dc.date.accessioned2015-01-15T11:28:24Z
dc.date.available2015-01-15T11:28:24Z
dc.date.issued2010en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.descriptionIncludes bibliographical references (p. 49-52).en_ZA
dc.description.abstractCustom antigen arrays offer a platform to assay the serological response of cancer patients to at set of selected cancer testis antigens in order to infer a diagnosis value or to assess the patient responses to particular treatments. However, the acquisition of the array data is subject to bias and noise. Therefore, array data processing and analysis is required to clear the data from bias, reduce noise and learn from the data. This study aims to address the issues of normalization and sample qualitative clustering for custom protein arrays.en_ZA
dc.identifier.apacitationSafari Serufuri, J. (2010). <i>Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology. Retrieved from http://hdl.handle.net/11427/12222en_ZA
dc.identifier.chicagocitationSafari Serufuri, Jean-Michel. <i>"Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology, 2010. http://hdl.handle.net/11427/12222en_ZA
dc.identifier.citationSafari Serufuri, J. 2010. Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Safari Serufuri, Jean-Michel AB - Custom antigen arrays offer a platform to assay the serological response of cancer patients to at set of selected cancer testis antigens in order to infer a diagnosis value or to assess the patient responses to particular treatments. However, the acquisition of the array data is subject to bias and noise. Therefore, array data processing and analysis is required to clear the data from bias, reduce noise and learn from the data. This study aims to address the issues of normalization and sample qualitative clustering for custom protein arrays. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array TI - Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array UR - http://hdl.handle.net/11427/12222 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/12222
dc.identifier.vancouvercitationSafari Serufuri J. Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology, 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12222en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Molecular and Cell Biologyen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherCell Biologyen_ZA
dc.titleDevelopment of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen arrayen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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