Bayesian meta-analysis models for microarray data: a comparative study
Open Access
- 7 March 2007
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 8 (1) , 80
- https://doi.org/10.1186/1471-2105-8-80
Abstract
With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis of microarrays include either combining gene expression measures across studies or combining summaries such as p-values, probabilities or ranks. Here, we compare two Bayesian meta-analysis models that are analogous to these methods.Keywords
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