Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics (2007–2011)

The broad aim of the project is to develop rigorous statistical methodology for the analysis of microarray gene-expression data. The advent of high-throughput tools for identifying genetic variants and quantifying gene expression has set the stage for the rapid evolution of the way disease is diagnosed, classified, and treated. The project will develop sophisticated methods that can be applied to the diagnosis and study of cancer, using multiple molecular indices. With this approach to the development of clinico-genomic model-based methods, there is the real ability to tailor treatments to the individual patient. The project thus will contribute to the goal of promoting and maintaining good health for all Australians.
Grant type:
ARC Discovery Projects
Funded by:
Australian Research Council