scATrans: annotating single-cell differential expression as transcription- or stabilization-weighted using unspliced RNA

Single-cell differential expression studies typically measure mature mRNA abundance, which conflates transcription rate and RNA decay. scATrans leverages spliced and unspliced counts already generated by standard scRNA-seq pipelines to decompose expression changes into transcription- and stabilization-weighted contributions. This approach avoids the expense and cellular perturbation of metabolic labeling and can be applied retrospectively to existing public datasets. The tool is open-source, making it broadly accessible for reanalyzing archived scRNA-seq data. Its outputs could help researchers prioritize genes for follow-up based on the underlying regulatory mechanism.