Analysis platform for large-scale dose-dependent data
Generate Dose-Response Curves in Python
U.S EPA Benchmark Dose Modeling Software (BMDS)
Refactored version of the drc package, a framework for fitting and analyzing dose–response models. This repository restructures the codebase to improve maintainability, transparency, and future development.
U.S. EPA Benchmark Dose Modeling Software User Interface (BMDS Desktop and BMDS Online)
Automatic segmentation of cardiac substructures (left ventricular myocardial walls and coronary arteries) on non-angiographic contrast CT (cCT) based on nnU-Net v2
DReamGAMM: Dose-Response EnhAnced Modeling by Generalized Additive Mixed Model
Dose-Response Meta-Regression for Meta-Analysis
Protocol for plotting calibration curves and beam profiles from film with MATLAB & ImageJ
Accounting for hidden confounders in estimates of dose-response curves from observational data.
Context-dependent pharmacology of cannabidiol: A two-pathway model linking mitochondrial VDAC gating and bioenergetic resilience to selective cytotoxicity
Python scripts to perform deconvolution of stimulated luminescence curves and fitting analysis of dose responce curves.
Nextcast: a software suite to analyse and model toxicogenomics data
Fitting and plotting of experimental binding curves in Python.
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