Conference Proceedings
A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
F Shi, C Leckie, G MacIntyre, I Haviv, A Boussioutas, A Kowalczyk
BMC Bioinformatics | BMC | Published : 2010
Abstract
Background: In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of interesting genes or biological pathways. However, in order to analyze the large number of noisy measurements in microarrays, effective and efficient bioinformatics techniques are needed to identify the associations between genes and relevant phenotypes. Moreover, systematic tests are needed to validate the statistical and biological significance of those discoveries.Results: In this paper, we develop a robust and efficient method for exploratory analysis of microarray data, which produces a number of different ord..
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Funding Acknowledgements
National ICT Australia (NICTA) is funded by the Australian Government's Department of Communications, Information Technology and the Arts and the Australian Council through Backing Australia's Ability and the ICT Center of Excellence program. This paper is an extended version of a previous paper in the 2nd International Workshop on Machine Learning in Systems Biology.