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León-NoveloEtAl2017
Allows simultaneous testing of allelic imbalance (AI) and differences in AI across environments. This Bayesian model allows formal testing of AI between environments, while accounting for potential bias, and models the total number of reads as a random sample from the library. The model also accounts for differences in magnitude of gene expression counts and unassigned reads. It protects against increases in type I errors, including when the number of sequenced reads in the two environments differ by 10-fold.
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