Preprint
Jul 2026
Deep and Probabilistic Models for Gene Regulatory Network Inference
PMF-GRN and GLM-Prior motivate a dual-stage view of GRN reconstruction in which sequence-derived priors provide a transferable starting scaffold and probabilistic inference refines regulatory estimates with quantified uncertainty under incomplete evaluation resources.
Claudia Skok Gibbs
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