Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation.
- DOI
- 10.1016/j.xgen.2024.100702
- Published
- 2025 Jan 8
- Container
- Cell genomics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.xgen.2024.100702,
title = {Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation.},
author = {Wang H and Wang Y and Zhou J and Song B and Tu G and Nguyen A and Su J and Coenen F and Wei Z and Rigden DJ and Meng J},
year = {2025},
journal = {Cell genomics},
doi = {10.1016/j.xgen.2024.100702},
url = {https://doi.org/10.1016/j.xgen.2024.100702}
}RIS
TY - JOUR TI - Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation. AU - Wang H AU - Wang Y AU - Zhou J AU - Song B AU - Tu G AU - Nguyen A AU - Su J AU - Coenen F AU - Wei Z AU - Rigden DJ AU - Meng J PY - 2025 JO - Cell genomics DO - 10.1016/j.xgen.2024.100702 UR - https://doi.org/10.1016/j.xgen.2024.100702 ER -
APA
H, W., Y, W., J, Z., B, S., G, T., A, N., J, S., F, C., Z, W., DJ, R., & J, M. (2025). Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation.. Cell genomics. https://doi.org/10.1016/j.xgen.2024.100702
Source records
- pubmed · retrieved 2026-09-26T04:22:08.769Z