Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics
- DOI
- 10.1016/j.crmeth.2026.101580
- Published
- 2026-09
- Container
- Cell Reports Methods
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.crmeth.2026.101580,
title = {Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics},
author = {Noriaki Sato and Marco Scutari and Seiya Imoto},
year = {2026},
journal = {Cell Reports Methods},
doi = {10.1016/j.crmeth.2026.101580},
url = {https://doi.org/10.1016/j.crmeth.2026.101580}
}RIS
TY - JOUR TI - Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics AU - Noriaki Sato AU - Marco Scutari AU - Seiya Imoto PY - 2026 JO - Cell Reports Methods DO - 10.1016/j.crmeth.2026.101580 UR - https://doi.org/10.1016/j.crmeth.2026.101580 ER -
APA
Sato, N., Scutari, M., & Imoto, S. (2026). Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics. Cell Reports Methods. https://doi.org/10.1016/j.crmeth.2026.101580
Source records
- crossref · retrieved 2026-09-25T12:14:46.451Z