Cross-study validation and combined analysis of gene expression microarray data
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Publication:3526161
DOI10.1093/biostatistics/kxm033zbMath1143.62077OpenAlexW2101418109WikidataQ31129354 ScholiaQ31129354MaRDI QIDQ3526161
Edward Gabrielson, Xiaogang Zhong, Elizabeth Garrett-Mayer, Giovanni Parmigiani, Leslie Cope
Publication date: 25 September 2008
Published in: Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biostatistics/kxm033
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)
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An Empirical Bayes' Approach to Joint Analysis of Multiple Microarray Gene Expression Studies ⋮ Integrative correlation: properties and relation to canonical correlations ⋮ Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control ⋮ Application of skew-normal distribution for detecting differential expression to microRNA data ⋮ An Improved Method on Wilcoxon Rank Sum Test for Gene Selection from Microarray Experiments ⋮ Effectiveness of combinations of Gaussian graphical models for model building ⋮ Bayesian nonparametric cross-study validation of prediction methods
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