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Bayesian latent ising model for joint microbial and metabolomic network inference

Yang Ni & Weixuan Zhu

Journal of Applied Statistics2026https://doi.org/10.1080/02664763.2026.2636648article
AJG 2ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1080/02664763.2026.2636648

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@article{yang2026,
  title        = {{Bayesian latent ising model for joint microbial and metabolomic network inference}},
  author       = {Yang Ni & Weixuan Zhu},
  journal      = {Journal of Applied Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/02664763.2026.2636648},
}

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Bayesian latent ising model for joint microbial and metabolomic network inference

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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