Regularized binormal ROC method in disease classification using microarray data |
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| Authors: | Shuangge Ma Xiao Song Jian Huang |
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| Institution: | (1) Department of Biostatistics, University of Washington, Seattle, WA 98195, USA;(2) Department of Statistics & Actuarial Science and Program in Public Health Genetics, University of Iowa, Iowa City, IA 52242, USA |
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| Abstract: | Background An important application of microarrays is to discover genomic biomarkers, among tens of thousands of genes assayed, for disease
diagnosis and prognosis. Thus it is of interest to develop efficient statistical methods that can simultaneously identify
important biomarkers from such high-throughput genomic data and construct appropriate classification rules. It is also of
interest to develop methods for evaluation of classification performance and ranking of identified biomarkers. |
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