mmVelo: a deep generative model for estimating cell state-dependent dynamics across multiple modalities
- DOI
- 10.1093/bioinformatics/btag652
- Published
- 2026-08-31
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag652,
title = {mmVelo: a deep generative model for estimating cell state-dependent dynamics across multiple modalities},
author = {Satoshi Nomura and Yasuhiro Kojima and Kodai Minoura and Shuto Hayashi and Ko Abe and Haruka Hirose and Teppei Shimamura},
year = {2026},
journal = {Bioinformatics},
doi = {10.1093/bioinformatics/btag652},
url = {https://doi.org/10.1093/bioinformatics/btag652}
}RIS
TY - JOUR TI - mmVelo: a deep generative model for estimating cell state-dependent dynamics across multiple modalities AU - Satoshi Nomura AU - Yasuhiro Kojima AU - Kodai Minoura AU - Shuto Hayashi AU - Ko Abe AU - Haruka Hirose AU - Teppei Shimamura PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag652 UR - https://doi.org/10.1093/bioinformatics/btag652 ER -
APA
Nomura, S., Kojima, Y., Minoura, K., Hayashi, S., Abe, K., Hirose, H., & Shimamura, T. (2026). mmVelo: a deep generative model for estimating cell state-dependent dynamics across multiple modalities. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag652
Source records
- crossref · retrieved 2026-09-26T03:15:51.502Z