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

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.

Grantor dc:publisher.institution

Department of Molecular and Cell Biology

Year dc:date.issued

2010

Author dc:creator

• Safari Serufuri, Jean-Michel

Advisors dc:contributor.advisor

• Blackburn, Jonathan
• Mulder, Nicola
• Kumuthini, Judit

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/12222

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/12222