Monica L. García‐Gómez

This study investigates when combining mechanistic and machine learning models improves predictions of gene regulatory network dynamics using synthetic data.

The paper explains how the balance between PLETHORA protein complexes and unbound PLETHORA determines regenerative competence in Arabidopsis roots, revealing a ratiometric mechanism for transcription factor dosage.

The paper investigates the regulatory network of stem cell maintenance in Arabidopsis roots by analyzing the interactions of key transcription factors and their complex formation.