scGraphVerse: a modular workflow for single-cell gene network inference

Francesco Cecere, Daniela De Canditiis, Annamaria Carissimo, Claudia Angelini

Open source

DOI: 10.1093/bioadv/vbag208
Published: 2026
Container: Bioinformatics Advances
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag208,
  title = {scGraphVerse: a modular workflow for single-cell gene network inference},
  author = {Francesco Cecere and Daniela De Canditiis and Annamaria Carissimo and Claudia Angelini},
  year = {2026},
  journal = {Bioinformatics Advances},
  doi = {10.1093/bioadv/vbag208},
  url = {https://doi.org/10.1093/bioadv/vbag208}
}

RIS

TY  - JOUR
TI  - scGraphVerse: a modular workflow for single-cell gene network inference
AU  - Francesco Cecere
AU  - Daniela De Canditiis
AU  - Annamaria Carissimo
AU  - Claudia Angelini
PY  - 2026
JO  - Bioinformatics Advances
DO  - 10.1093/bioadv/vbag208
UR  - https://doi.org/10.1093/bioadv/vbag208
ER  -

APA

Cecere, F., Canditiis, D. D., Carissimo, A., & Angelini, C. (2026). scGraphVerse: a modular workflow for single-cell gene network inference. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbag208

Source records

crossref · retrieved 2026-11-08T07:10:39.456Z