Bayesian meta-analysis models for microarray data: a comparative study

@article{Conlon2006BayesianMM,
  title={Bayesian meta-analysis models for microarray data: a comparative study},
  author={Erin M. Conlon and Joon J. Song and Anna Liu},
  journal={BMC Bioinformatics},
  year={2006},
  volume={8},
  pages={80 - 80}
}
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. Two Bayesian meta-analysis models for microarray data have recently been introduced. The first… CONTINUE READING