Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays

Abstract

The combination of results from different large-scale datasets of multidimensional biological signals (such as gene expression profiling) presents a major challenge. Methodologies are needed that can efficiently combine diverse datasets, but can also test the extent of diversity (heterogeneity) across the combined studies. We developed METa-analysis of… (More)
DOI: 10.1016/j.compbiolchem.2007.09.003

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@article{Zintzaras2008MetaanalysisFR, title={Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays}, author={Elias Zintzaras and John P. A. Ioannidis}, journal={Computational biology and chemistry}, year={2008}, volume={32 1}, pages={38-46} }