Evaluating microbial network inference methods: Moving beyond synthetic data with reproducibility-driven benchmarks
Zahra Ghaeli, Rosa Aghdam, Changiz Eslahchi
This paper evaluates six microbial network inference methods using real and generated data, showing that synthetic benchmarks can be misleading and proposing a reproducibility-focused framework for better evaluation.
BMC Bioinformatics · Jun 20, 2026Peer-reviewedBioinformatics