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

Includes abstract.

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Bibliographic Details
Main Author: Safari Serufuri, Jean-Michel
Other Authors: Blackburn, Jonathan
Format: Thesis
Language:English
Published: Department of Molecular and Cell Biology 2015
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access_status_str Open Access
author Safari Serufuri, Jean-Michel
author2 Blackburn, Jonathan
author_browse Blackburn, Jonathan
Safari Serufuri, Jean-Michel
author_facet Blackburn, Jonathan
Safari Serufuri, Jean-Michel
author_sort Safari Serufuri, Jean-Michel
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/12222
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:20.437Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Molecular and Cell Biology
publisherStr Department of Molecular and Cell Biology
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/12222 Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array Safari Serufuri, Jean-Michel Blackburn, Jonathan Mulder, Nicola Kumuthini, Judit Cell Biology Includes abstract. Includes bibliographical references (p. 49-52). 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. 2015-01-15T11:28:24Z 2015-01-15T11:28:24Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/12222 eng application/pdf Department of Molecular and Cell Biology Faculty of Science University of Cape Town
spellingShingle Cell Biology
Safari Serufuri, Jean-Michel
Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
thesis_degree_str Master's
title Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
title_full Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
title_fullStr Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
title_full_unstemmed Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
title_short Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
title_sort development of computational methods for custom protein arrays analysis a case study on a 100 protein ct100 cancer testis antigen array
topic Cell Biology
url http://hdl.handle.net/11427/12222
work_keys_str_mv AT safariserufurijeanmichel developmentofcomputationalmethodsforcustomproteinarraysanalysisacasestudyona100proteinct100cancertestisantigenarray