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RNA-Seq has drastically changed our ways of studying transcrip-tomes in providing more precise estimates of gene expression, including isoform-specific expression. Most of the available methods for RNA-Seq data focus on one sample at a time. We present in this paper a Poisson-Gamma hierarchical model for multi-sample RNA-Seq data analysis in order to simultaneously estimate isoform-specific expression and to identify differentially expressed iso-forms. Our model has the advantage of borrowingdoi:10.1007/s12561-011-9052-3 pmid:23737925 pmcid:PMC3669631 fatcat:d6d36spaqrbkbbbvygbo5frcqm