scGSCA: gene-set differential co-expression analysis for single-cell RNA sequencing data.

Jin Z, Irlmeier R, Ping J, Wang Y, Guo Y, Ye F

DOI: 10.64898/2026.10.05.756579
Published: 2026 Oct 12
Container: bioRxiv : the preprint server for biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.64898/2026.10.05.756579,
  title = {scGSCA: gene-set differential co-expression analysis for single-cell RNA sequencing data.},
  author = {Jin Z and Irlmeier R and Ping J and Wang Y and Guo Y and Ye F},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.10.05.756579},
  url = {https://doi.org/10.64898/2026.10.05.756579}
}

RIS

TY  - JOUR
TI  - scGSCA: gene-set differential co-expression analysis for single-cell RNA sequencing data.
AU  - Jin Z
AU  - Irlmeier R
AU  - Ping J
AU  - Wang Y
AU  - Guo Y
AU  - Ye F
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.10.05.756579
UR  - https://doi.org/10.64898/2026.10.05.756579
ER  -

APA

Z, J., R, I., J, P., Y, W., Y, G., & F, Y. (2026). scGSCA: gene-set differential co-expression analysis for single-cell RNA sequencing data.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.10.05.756579

Source records

pubmed · retrieved 2026-11-10T10:58:33.314Z