A combination of 4 in silico metabolite prediction tools. Developed for toxicological studies, but applicable to other fields.

My personal website, served at https://cthoyt.com

A collection of R scripts to analyze toxicologic path data

Health Assessment Workspace Collaborative, a content management system for systematic reviews

The rebirth of IMPACT World+ in a fully automated and transparent fashion.

The eNanoMapper ontology

Source code for the web application associated with "Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms".

R Shiny App to Visualize and Summarize Repeat-Dose Toxicology Study Results

toxpiR R package for the Toxicological Priority Index (ToxPi) algorithm.

Python library and Orange3 widget for high-throughput screening data preprocessing, toxicity scoring, and FAIRification

Analysis of Ecotoxicology

Bayesian No-Effect-Concentration estimation in R

A Python module for analysis and visualization of dose-response data

links related to SEND/Nonclinical toxicology

An adverse drug reaction (ADR) is described by the World Health Organization (WHO) as a 'response to a medicine which is noxious and unintended, and which occurs at doses normally used in man

A query engine to retrive information from AOP wiki graph database.

A collection of projects from my experience as a Biostatistics/Bioinformatics fellow at NIOSH in Cincinnati, Ohio.

Endocrine Disruption Explainer is a code to generate structural alerts of endocrine disruption of chemcial compounds using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from TOX-21, EDC, and EDKB-FDA datasets.

BBBP Explainer is a code to generate structural alerts of blood-brain barrier penetrating and non-penetrating drugs using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from BBBP dataset.

[Frontend] A knowledge graph system with graph neural network for drug discovery, disease mechanism and biomarker screening.