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Peer-reviewedLicence not statedNature Methods

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance

  • Alan DenAdel1
  • Madeline Hughes2
  • Akshaya Thoutam3
  • Anay Gupta4
  • Andrew W. Navia3
  • Nicolò Fusi2
  • Srivatsan Raghavan3,5,6,7
  • Peter S. Winter3
  • Ava P. Amini8
  • Lorin A. Crawford9
9 affiliations
  1. 1Center for Computational Molecular Biology, Brown University, Providence, RI, USA
  2. 2Microsoft Research, Cambridge, MA, USA
  3. 3Broad Institute of MIT and Harvard, Cambridge, MA, USA
  4. 4School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA
  5. 5Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
  6. 6Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
  7. 7Harvard Medical School, Boston, MA, USA
  8. 8Microsoft Research, Cambridge, MA, USA. [email protected]
  9. 9Microsoft Research, Cambridge, MA, USA. [email protected]
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{denadel2026evaluating,
  title = {{Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance}},
  author = {Alan DenAdel and Madeline Hughes and Akshaya Thoutam and Anay Gupta and Andrew W. Navia and Nicolò Fusi and Srivatsan Raghavan and Peter S. Winter and Ava P. Amini and Lorin A. Crawford},
  journal = {Nature Methods},
  year = {2026},
  month = jun,
  doi = {10.1038/s41592-026-03120-y},
  url = {https://doi.org/10.1101/2024.12.13.628448},
}
RIS
TY  - JOUR
TI  - Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance
AU  - Alan DenAdel
AU  - Madeline Hughes
AU  - Akshaya Thoutam
AU  - Anay Gupta
AU  - Andrew W. Navia
AU  - Nicolò Fusi
AU  - Srivatsan Raghavan
AU  - Peter S. Winter
AU  - Ava P. Amini
AU  - Lorin A. Crawford
PY  - 2026
DA  - 2026/06/09
JO  - Nature Methods
DO  - 10.1038/s41592-026-03120-y
UR  - https://doi.org/10.1101/2024.12.13.628448
SN  - 1548-7091
SN  - 1548-7105
ER  -