Predicting weighted unobserved nodes in a regulatory network using answer set programming.
- DOI
- 10.1186/s12859-023-05429-3
- Published
- 2023 Aug 25
- Container
- BMC bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-023-05429-3,
title = {Predicting weighted unobserved nodes in a regulatory network using answer set programming.},
author = {Le Bars S and Bolteau M and Bourdon J and Guziolowski C},
year = {2023},
journal = {BMC bioinformatics},
doi = {10.1186/s12859-023-05429-3},
url = {https://doi.org/10.1186/s12859-023-05429-3}
}RIS
TY - JOUR TI - Predicting weighted unobserved nodes in a regulatory network using answer set programming. AU - Le Bars S AU - Bolteau M AU - Bourdon J AU - Guziolowski C PY - 2023 JO - BMC bioinformatics DO - 10.1186/s12859-023-05429-3 UR - https://doi.org/10.1186/s12859-023-05429-3 ER -
APA
S, L. B., M, B., J, B., & C, G. (2023). Predicting weighted unobserved nodes in a regulatory network using answer set programming.. BMC bioinformatics. https://doi.org/10.1186/s12859-023-05429-3
Source records
- pubmed · retrieved 2026-09-26T07:14:46.399Z
- europe-pmc · retrieved 2026-09-26T07:14:46.412Z
- doaj · retrieved 2026-09-26T07:14:46.388Z
- hal · retrieved 2026-09-26T07:14:46.431Z