Abstract:In this methods article, I describe a computational workflow for cross-species visualization and comparison of mRNA-seq transcriptome profiling data. The workflow is based on gene set variation analysis (GSVA) and is illustrated using commands in the R programming language. I provide a complete step-by-step procedure for the workflow using mRNA-seq data sets from dog and human bladder cancer as an example.
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