Benchmarking large-scale single-cell RNA-seq analysis.

Billato I, Pages H, Carey V, Waldron L, Sales G, Romualdi C, Risso D

DOI: 10.1101/2025.10.28.681564
Published: 2025 Oct 29
Container: bioRxiv : the preprint server for biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1101/2025.10.28.681564,
  title = {Benchmarking large-scale single-cell RNA-seq analysis.},
  author = {Billato I and Pages H and Carey V and Waldron L and Sales G and Romualdi C and Risso D},
  year = {2025},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.1101/2025.10.28.681564},
  url = {https://doi.org/10.1101/2025.10.28.681564}
}

RIS

TY  - JOUR
TI  - Benchmarking large-scale single-cell RNA-seq analysis.
AU  - Billato I
AU  - Pages H
AU  - Carey V
AU  - Waldron L
AU  - Sales G
AU  - Romualdi C
AU  - Risso D
PY  - 2025
JO  - bioRxiv : the preprint server for biology
DO  - 10.1101/2025.10.28.681564
UR  - https://doi.org/10.1101/2025.10.28.681564
ER  -

APA

I, B., H, P., V, C., L, W., G, S., C, R., & D, R. (2025). Benchmarking large-scale single-cell RNA-seq analysis.. bioRxiv : the preprint server for biology. https://doi.org/10.1101/2025.10.28.681564

Source records

pubmed · retrieved 2026-09-25T20:55:02.384Z