scDRP: disentangled representation learning for predicting single-cell responses to perturbations and estimating individual treatment effects

Jianle Sun, Petar Stojanov, Kun Zhang

Open source

DOI: 10.1093/bib/bbag482
Published: 2026-09-01
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag482,
  title = {scDRP: disentangled representation learning for predicting single-cell responses to perturbations and estimating individual treatment effects},
  author = {Jianle Sun and Petar Stojanov and Kun Zhang},
  year = {2026},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbag482},
  url = {https://doi.org/10.1093/bib/bbag482}
}

RIS

TY  - JOUR
TI  - scDRP: disentangled representation learning for predicting single-cell responses to perturbations and estimating individual treatment effects
AU  - Jianle Sun
AU  - Petar Stojanov
AU  - Kun Zhang
PY  - 2026
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbag482
UR  - https://doi.org/10.1093/bib/bbag482
ER  -

APA

Sun, J., Stojanov, P., & Zhang, K. (2026). scDRP: disentangled representation learning for predicting single-cell responses to perturbations and estimating individual treatment effects. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag482

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crossref · retrieved 2026-11-10T06:40:51.133Z