Analysis platform for large-scale dose-dependent data
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Updated
Nov 25, 2025 - Python
Analysis platform for large-scale dose-dependent data
Generate Dose-Response Curves in Python
U.S EPA Benchmark Dose Modeling Software (BMDS)
U.S. EPA Benchmark Dose Modeling Software User Interface (BMDS Desktop and BMDS Online)
DReamGAMM: Dose-Response EnhAnced Modeling by Generalized Additive Mixed Model
Automatic segmentation of cardiac substructures (left ventricular myocardial walls and coronary arteries) on non-angiographic contrast CT (cCT) based on nnU-Net v2
Dose-Response Meta-Regression for Meta-Analysis
Accounting for hidden confounders in estimates of dose-response curves from observational data.
Protocol for plotting calibration curves and beam profiles from film with MATLAB & ImageJ
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
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.
Fitting and plotting of experimental binding curves in Python.
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