RegVelo uses single-cell data to identify which genes are currently being activated or silenced in a cell. At the same time, the model takes into account which genes regulate other genes. By combining data-driven learning with the representation of gene regulatory networks, RegVelo connects statistical conclusions with mechanistic insights.

Original publication:
Wang W, Hu Z, Weiler P, Mayes S, Lange M, Fountain DM, Haug JO, Wang J, Xue Z, Sauka-Spengler T, Theis FJ. RegVelo: Gene-regulatory-informed dynamics of single cells. Cell. 2026 May 11:S0092-8674(26)00457-5. doi: 10.1016/j.cell.2026.04.022. Epub ahead of print. PMID: 42119563.

Source and further information:
https://www.helmholtz-munich.de/en/newsroom/news-all/artikel/ai-model-makes-developmental-paths-of-biological-cells-traceable