NExON-Bayes: a Bayesian approach to network estimation informed by ordinal covariates.

Feest J, Ruffieux H, Lingjærde C, Xi X

Open source

DOI
10.1093/bioinformatics/btag345
Published
2026 Aug 31
Container
Bioinformatics (Oxford, England)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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/btag345,
  title = {NExON-Bayes: a Bayesian approach to network estimation informed by ordinal covariates.},
  author = {Feest J and Ruffieux H and Lingjærde C and Xi X},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag345},
  url = {https://doi.org/10.1093/bioinformatics/btag345}
}

RIS

TY  - JOUR
TI  - NExON-Bayes: a Bayesian approach to network estimation informed by ordinal covariates.
AU  - Feest J
AU  - Ruffieux H
AU  - Lingjærde C
AU  - Xi X
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag345
UR  - https://doi.org/10.1093/bioinformatics/btag345
ER  - 

APA

J, F., H, R., C, L., & X, X. (2026). NExON-Bayes: a Bayesian approach to network estimation informed by ordinal covariates.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag345

Source records