Department of Biostatistics

Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of Sequence Count Expression Data

  • We have developed a statistical procedure that incorporates assumption evaluation and hypothesis testing procedure selection into the analysis of sequence-count gene expression data such as mRNA-seq data.  This method was published by Pounds, Gao, and Zhang (2012).

  • The method is implemented by the functions defined in this documented code file written for the freely available statistical computing language R. 

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More questions? Contact Stan Pounds.