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. 2024 Feb 29;20(2):e1011928. doi: 10.1371/journal.pcbi.1011928

Fig 1. HormoneBayes: a Bayesian framework for analyzing pulsatile LH dynamics.

Fig 1

The framework uses a parsimonious mathematical model to describe LH levels in circulation as the net effect of secretion and clearance. In the model secretion is driven by a basal hypothalamic signal and a pulsatile signal (mimicking the dynamics of the GnRH pulse generator which can be turned ‘on’ or ‘off’). An efficient Markov-Chain Monte-Carlo (MCMC) method performs the Bayesian inference and extracts model parameters and latent hypothalamic dynamics, which are compatible with the observed data.