AI Summary

A new algorithm has been introduced that enhances the identification of differentially expressed genes within large single‑cell RNA sequencing (scRNA‑seq) data sets that are organized along inferred developmental trajectories, or pseudotime. By improving detection accuracy in these extensive trajectory analyses, the method aims to better capture gene expression changes associated with processes such as cell differentiation, the cell cycle, and stimulus response.

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