Development of computational methods for custom protein arrays analysis : a case study on a 100-protein ("CT100") cancer/testis antigen array
type: CreativeWork
description: 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.
abstract: 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.
author: Safari Serufuri, Jean-Michel
language: eng
date published: 2010
date modified: 2026-07-22T22:23:24Z
provider: University of Cape Town
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Department of Molecular and Cell Biology

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11427/12222