scDeepAPA: a deep learning framework for single-cell alternative polyadenylation identification.

Liang J, Wang Q, Guo S, Zhang W, Xie M, Song Q

DOI: 10.1093/bib/bbag339
Published: 2026 May 4
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag339,
  title = {scDeepAPA: a deep learning framework for single-cell alternative polyadenylation identification.},
  author = {Liang J and Wang Q and Guo S and Zhang W and Xie M and Song Q},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag339},
  url = {https://doi.org/10.1093/bib/bbag339}
}

RIS

TY  - JOUR
TI  - scDeepAPA: a deep learning framework for single-cell alternative polyadenylation identification.
AU  - Liang J
AU  - Wang Q
AU  - Guo S
AU  - Zhang W
AU  - Xie M
AU  - Song Q
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag339
UR  - https://doi.org/10.1093/bib/bbag339
ER  -

APA

J, L., Q, W., S, G., W, Z., M, X., & Q, S. (2026). scDeepAPA: a deep learning framework for single-cell alternative polyadenylation identification.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag339

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pubmed · retrieved 2026-09-26T14:04:33.682Z