scGraphVerse: a modular workflow for single-cell gene network inference.
- DOI
- 10.1093/bioadv/vbag208
- Published
- 2026
- Container
- Bioinformatics advances
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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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 = {Cecere F and De Canditiis D and Carissimo A and Angelini C},
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 - Cecere F AU - De Canditiis D AU - Carissimo A AU - Angelini C PY - 2026 JO - Bioinformatics advances DO - 10.1093/bioadv/vbag208 UR - https://doi.org/10.1093/bioadv/vbag208 ER -
APA
F, C., D, D. C., A, C., & C, A. (2026). scGraphVerse: a modular workflow for single-cell gene network inference.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbag208
Source records
- pubmed · retrieved 2026-09-25T02:23:40.407Z