A graph-attentive GAN for rare-cell-aware single-cell RNA-seq data generation.
- DOI
- 10.1371/journal.pcbi.1014601
- Published
- 2026 Oct
- Container
- PLoS computational biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1014601,
title = {A graph-attentive GAN for rare-cell-aware single-cell RNA-seq data generation.},
author = {Ganguly R and Aafrine S and Hossain SMM and Ray S},
year = {2026},
journal = {PLoS computational biology},
doi = {10.1371/journal.pcbi.1014601},
url = {https://doi.org/10.1371/journal.pcbi.1014601}
}RIS
TY - JOUR TI - A graph-attentive GAN for rare-cell-aware single-cell RNA-seq data generation. AU - Ganguly R AU - Aafrine S AU - Hossain SMM AU - Ray S PY - 2026 JO - PLoS computational biology DO - 10.1371/journal.pcbi.1014601 UR - https://doi.org/10.1371/journal.pcbi.1014601 ER -
APA
R, G., S, A., SMM, H., & S, R. (2026). A graph-attentive GAN for rare-cell-aware single-cell RNA-seq data generation.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014601
Source records
- pubmed · retrieved 2026-11-11T01:18:32.138Z