Statistical inference of differential RNA-editing sites from RNA-sequencing data by hierarchical modeling

Abstract excerpt

MOTIVATION: RNA-sequencing (RNA-seq) enables global identification of RNA-editing sites in biological systems and disease. A salient step in many studies is to identify editing sites that statistically associate with treatment (e.g. case versus control) or covary with biological factors, such as age. However, RNA-seq has technical features that incumbent tests (e.g. t-test and linear regression) do not consider,...

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