On p-Values and Bayes Factors

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Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing (2018, background): “Evaluating which hypothesis is more probable amounts to evaluating a Bayes factor [42]:”
Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models (2019, unknown): “[69] L.”
Three Recommendations for Improving the Use of p-Values (2019, background): “Held and Ott (2018) provide practical advice about which Bayes factor bound to use depending on the context.”