Publication: DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes
DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes
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Tiberi, S., Meili, J., Cai, P., Soneson, C., He, D., Sarkar, H., Avalos-Pacheco, A., Patro, R., & Robinson, M. D. (2023). DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes (No. 553679; BioRxiv). https://doi.org/10.1101/2023.08.17.553679
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MOTIVATION: Although transcriptomics data is typically used to analyse mature spliced mRNA, recent attention has focused on jointly investigating spliced and unspliced (or precursor-) mRNA, which can be used to study gene regulation and changes in gene expression production. Nonetheless, most methods for spliced/unspliced inference (such as RNA velocity tools) focus on individual samples, and rarely allow comparisons between groups of samples (e.g., healthy vs . diseased). Furthermore, this kind of inference is challenging, because sp
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Tiberi, S., Meili, J., Cai, P., Soneson, C., He, D., Sarkar, H., Avalos-Pacheco, A., Patro, R., & Robinson, M. D. (2023). DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes (No. 553679; BioRxiv). https://doi.org/10.1101/2023.08.17.553679
