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aop

AOP R Package. This package does the following awesome things: 1) Concentration-response analysis using bootstrap metaregression and 2) identifying sufficient causal key events in an AOP.

aop-ontology

Adverse Outcome Pathway Ontology

aop-wiki_to_ontology

Python parsers and the like to translate the AOP-Wiki contents into the AOP Ontology

aop_bayes_nets

AOP Bayesian Networks (AOPBNs)

aop_networks

Repository for AOP Networks (AOPNs)

aopxiv

AOPXplorer Input Version -- this is the input file formats that the AOPXplorer will use. The json format is for direct entry into the MongoDB. The other formats are for human use.

aopxplorer

aopxplorer-app

aopxplorer2

Updated AOPXplorer intended for end-users

aopxplorer_fuseki

Fuseki instance for AOPXplorer

apecs

Autoencoder Predicting Estrogenic Chemical Substances (APECS)

apecs_vitro

Predicts Estrogenic endocrine disruptors (desktop version -- java gui)

apecs_vivo

Deep learning autoencoder for predicting estrogenic chemicals (using in vivo tested chemicals as ground truth). Similar to APECS(VITRO).

arsenic_mouse_lung_tumor_reanalysis

Bayesian re-analysis of the Waalkes mouse lung tumor data.

arsenic_polymorphism

Geospatial human genetic susceptibility, risk and economic impact of arsenic-induced bladder cancer risk at concentrations below the current US EPA Maximum Contaminant Level

bisct

Bayesian Inference for Substance and Chemical Toxicity

cdk

The Chemistry Development Kit

cpaop

Code used to generate cpAOP network

cytoscape-app-samples

Cytoscape 3 sample code for App developers.

damsl

Digital Automated Material Screening Library

datasciburgoon.github.io

webpage

devtox_ontology

This is the provisional developmental toxicology ontology.

disease_and_decisions

fraction_unbound

A support vector regression model to estimate the fraction of a chemical that is unbound in blood plasma.

ggradar

radar charts with ggplot2

grain

gravee

gravee-1

Good Risk Assessment Values for Environmental Exposures: Estimating Point of Departure (POD) from dose-response data using spline meta-regression.

grbase

keras-fasterrcnn

keras implementation of Faster R-CNN