The next-generation virtual cell: From spatiotemporal transcriptomic modeling to closed-loop target discovery in complex diseases.
- DOI
- 10.1016/j.lfs.2026.124600
- Published
- 2026 Oct 1
- Container
- Life sciences
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.lfs.2026.124600,
title = {The next-generation virtual cell: From spatiotemporal transcriptomic modeling to closed-loop target discovery in complex diseases.},
author = {Zhao M and Ma X and Shi W and Sun Y},
year = {2026},
journal = {Life sciences},
doi = {10.1016/j.lfs.2026.124600},
url = {https://doi.org/10.1016/j.lfs.2026.124600}
}RIS
TY - JOUR TI - The next-generation virtual cell: From spatiotemporal transcriptomic modeling to closed-loop target discovery in complex diseases. AU - Zhao M AU - Ma X AU - Shi W AU - Sun Y PY - 2026 JO - Life sciences DO - 10.1016/j.lfs.2026.124600 UR - https://doi.org/10.1016/j.lfs.2026.124600 ER -
APA
M, Z., X, M., W, S., & Y, S. (2026). The next-generation virtual cell: From spatiotemporal transcriptomic modeling to closed-loop target discovery in complex diseases.. Life sciences. https://doi.org/10.1016/j.lfs.2026.124600
Source records
- pubmed · retrieved 2026-09-26T06:46:04.084Z
- europe-pmc · retrieved 2026-09-26T06:46:04.095Z