A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION.

@article{Cassese2014AHB,
  title={A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION.},
  author={Alberto Cassese and M. Guindani and Mahlet G. Tadesse and Francesco Falciani and Marina Vannucci},
  journal={The annals of applied statistics},
  year={2014},
  volume={8 1},
  pages={
          148-175
        }
}
A number of statistical models have been successfully developed for the analysis of high-throughput data from a single source, but few methods are available for integrating data from different sources. Here we focus on integrating gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. We specify a measurement error model that relates the gene expression levels to latent copy number states which, in turn, are related to the observed… 

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