Benchmarking methods for inferring single-cell transcription factor activity using large-scale perturbation sequencing data.

Zhu Y, Han D, Wang Z

DOI: 10.1093/bib/bbag513
Published: 2026 Sep 1
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag513,
  title = {Benchmarking methods for inferring single-cell transcription factor activity using large-scale perturbation sequencing data.},
  author = {Zhu Y and Han D and Wang Z},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag513},
  url = {https://doi.org/10.1093/bib/bbag513}
}

RIS

TY  - JOUR
TI  - Benchmarking methods for inferring single-cell transcription factor activity using large-scale perturbation sequencing data.
AU  - Zhu Y
AU  - Han D
AU  - Wang Z
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag513
UR  - https://doi.org/10.1093/bib/bbag513
ER  -

APA

Y, Z., D, H., & Z, W. (2026). Benchmarking methods for inferring single-cell transcription factor activity using large-scale perturbation sequencing data.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag513

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pubmed · retrieved 2026-11-10T07:19:12.162Z