PRISM-GEP: Viewing single-cell expression through the lens of topic modeling

Yanir Buznah, Tal Ishon, Uri Shaham

Open source

DOI
10.1093/bioinformatics/btag728
Published
2026-09-29
Container
Bioinformatics
Publisher
Oxford University Press (OUP)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag728,
  title = {PRISM-GEP: Viewing single-cell expression through the lens of topic modeling},
  author = {Yanir Buznah and Tal Ishon and Uri Shaham},
  year = {2026},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btag728},
  url = {https://doi.org/10.1093/bioinformatics/btag728}
}

RIS

TY  - JOUR
TI  - PRISM-GEP: Viewing single-cell expression through the lens of topic modeling
AU  - Yanir Buznah
AU  - Tal Ishon
AU  - Uri Shaham
PY  - 2026
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btag728
UR  - https://doi.org/10.1093/bioinformatics/btag728
ER  - 

APA

Buznah, Y., Ishon, T., & Shaham, U. (2026). PRISM-GEP: Viewing single-cell expression through the lens of topic modeling. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag728

Source records