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This repository houses code that processes and analyzes data collected for NIH grant R01-MH-119119, which sought to examine how the menstrual cycle influences daily symptoms in female patients with attention deficit/hyperactivity disorder (ADHD). Data were collected between 2019 and 2024.
Companion scripts for DMS data processing, dose-response curve fitting and figure reproduction ("The genetic architecture of an allosteric hormone receptor", Stammnitz & Lehner, biorXiv 2025)
A mathematical model that contains two pulse generators based on integrate-and-fire mechanism - one located in the hypothalamus, the other in the pituitary gland. The target is a periphery gland.
In this project we tested various learning models for a reliable women menstraul cycle accurate prediction overtime, we have used ARISTAMA, Random forest, Long-term short memeory and many more, we used synthetic data for quick analyse