Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer.

Chen J, Schmidt F, Henao R

DOI: 10.1371/journal.pcbi.1013701
Published: 2026 Jul
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1013701,
  title = {Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer.},
  author = {Chen J and Schmidt F and Henao R},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1013701},
  url = {https://doi.org/10.1371/journal.pcbi.1013701}
}

RIS

TY  - JOUR
TI  - Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer.
AU  - Chen J
AU  - Schmidt F
AU  - Henao R
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1013701
UR  - https://doi.org/10.1371/journal.pcbi.1013701
ER  -

APA

J, C., F, S., & R, H. (2026). Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1013701

Source records

pubmed · retrieved 2026-09-25T01:55:32.768Z