Global StationaryOT: trajectory inference for aging time courses of single-cell snapshots.

Boyle C, Ventre E, Schiebinger G

DOI: 10.1093/bioinformatics/btag532
Published: 2026 Aug 3
Container: Bioinformatics (Oxford, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag532,
  title = {Global StationaryOT: trajectory inference for aging time courses of single-cell snapshots.},
  author = {Boyle C and Ventre E and Schiebinger G},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag532},
  url = {https://doi.org/10.1093/bioinformatics/btag532}
}

RIS

TY  - JOUR
TI  - Global StationaryOT: trajectory inference for aging time courses of single-cell snapshots.
AU  - Boyle C
AU  - Ventre E
AU  - Schiebinger G
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag532
UR  - https://doi.org/10.1093/bioinformatics/btag532
ER  -

APA

C, B., E, V., & G, S. (2026). Global StationaryOT: trajectory inference for aging time courses of single-cell snapshots.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag532

Source records

pubmed · retrieved 2026-09-27T09:47:13.201Z