Analysis platform for large-scale dose-dependent data
U.S EPA Benchmark Dose Modeling Software (BMDS)
Generate Dose-Response Curves in Python
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)
DReamGAMM: Dose-Response EnhAnced Modeling by Generalized Additive Mixed Model
Accounting for hidden confounders in estimates of dose-response curves from observational data.
Open-source Python toolkit for reproducible enzyme kinetics, Michaelis-Menten fitting, and IC50 dose-response analysis.
Dose-Response Meta-Regression for Meta-Analysis
Protocol for plotting calibration curves and beam profiles from film with MATLAB & ImageJ
Reproducible regulatory transfer analysis for CRISPR interference in primary human CD4 T cells
Open-source desktop application for OECD TG 236 zebrafish embryo toxicity (FET) assays — experimental design, daily well scoring, LC50/NOEC/LOEC and sublethal endpoint analysis, OECD validity checks, and automated Word report generation. Developed by Henrique Tamanini S. Moschen, University of Brasilia.
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
Context-dependent pharmacology of cannabidiol: A two-pathway model linking mitochondrial VDAC gating and bioenergetic resilience to selective cytotoxicity
A Laplace library of parametric nonlinear functions for pharmacokinetics, dose-response modeling, and growth/decay processes — ready to import into any .laplace model with namespaced calls (kinetics::function_name(...)).
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