Author

Christine A. Beveridge

2 papers indexed here

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Open access Oct 2026

PSoup: an R package for predicting the outcomes of biological networks without kinetic parameters

Mechanistic models built for prediction are often treated as a parameter estimation problem. Using Bayesian inference on a well-studied shoot branching ODE model, we show that multiple incompatible parameter calibrations can fit the same experimental data yet can make contradictory predictions under unseen treatment...

Nicole Z. Fortuna, Brodie A. J. Lawson, Christos Mitsanis et al. · in silico Plants · 0 citations

Open access Sep 2026

The miR319-targeted TCP transcription factors play crucial roles in the establishment of Arabidopsis thaliana shoot architecture in response to carbon and nitrogen availability

Shoot branching is a highly plastic developmental process that allows plants to adjust their architecture to environmental conditions, such as carbon and nitrogen availability. Although the class II TCP transcription factor BRANCHED1 is a well-established repressor of shoot branching, the contribution of other TCP fact...

F. Barbier, Isabel Amor, Thibaut Perez et al. · bioRxiv · 0 citations