SAGA: A hybrid search algorithm for Bayesian Network structure learning of transcriptional regulatory networks

- We propose an effective hybrid method for inferring Bayesian Networks with priors.
- Our method, SAGA, performs better than its components on high dimensional datasets.
- SAGA infers Bayesian Networks (BNs) with higher sensitivities and specificities.
- Inference with BNs is enhanced by the inclusion of prior network relationships.