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20232025
most citedHybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis

27 citations · 48 across the 5 of their papers we have counts for

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q-bio.QM2024★ 8 cited

Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation

Sebastián Espinel-Ríos, José Montaño López, José L. Avalos

This work presents an omics-driven modeling pipeline that integrates machine-learning tools to facilitate the dynamic modeling of multiscale biological systems. Random forests and…