Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics

该项目将通过开发分析高通量数据的统计方法，使整个澳大利亚社会受益。特别是，它将开发一种新的、易于实施的模型，用于分析可能是高维的相关和结构化数据。因此，它对提高澳大利亚大多数行业的应用研究的质量和有效性具有广泛的适用性。更具体地说，它将在这里应用于卵巢癌的诊断和预后。这一跨学科项目将增强澳大利亚研究人员参与前沿DNA微阵列研究的能力和能力。

The project will benefit the Australian Society as a whole by developing statistical methodology for the analysis of high-throughput data. In particular, it will develop a novel and easily implemented model for the analysis of correlated and structured data that may be of high dimension. It thus has wide applicability to improving the quality and validity of applied research in most industries in Australia. More specifically, it is to be applied here to the diagnosis and prognosis of ovarian cancer. This cross-disciplinary project will strengthen Australian researchers' capacity and capability of participating in cutting-edge DNA microarray research.