Challenges and progress in RNA velocity: Comparative analysis across multiple biological contexts
Sarah Ancheta; Leah C. Dorman; Guillaume Le Treut; Abel Gurung; Greg Huber; Löıc A. Royer; Alejandro A. Granados; Merlin Lange · 2026 · PLoS Computational Biology
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Abstract
Single-cell RNA sequencing is revolutionizing our understanding of cell state dynamics, allowing researchers to capture and quantify the transcriptomic profile of a single cell at a specific timepoint. Among the computational techniques used to predict cellular trajectories, RNA velocity has emerged as a predominant tool for modeling transcriptional dynamics. RNA velocity leverages the mRNA maturation process to generate velocity vectors that predict the likely future state of a cell, offering insights into cellular differentiation, aging, and disease progression. Although this technique has s
Abstract by Sarah Ancheta; Leah C. Dorman; Guillaume Le Treut; Abel Gurung; Greg Huber; Löıc A. Royer; Alejandro A. Granados; Merlin Lange, PLoS Computational Biology (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pcbi.1014303