Presented by Applied Genetic Toxicology SIG

Registration Fee
Members: Free
Non-Members: $20.00

Details: This WOW is instructional in nature and provides guidance to scientists who are looking for more efficient ways to visualize and communicate big data.

About this workshop: David Reif, Chief of Predictive Toxicology Branch at NIH, will present introduction to the ToxPi (Toxicological Prioritization Index) methodology for integrating, visualizing, and communicating complex data sets.

Who is it for? Anyone working with high throughput/high content data that is looking for ideas on how to visual and communicate such data.

ToxPi: Visual analytics for communicating integrated models from environmental health and toxicology data
David Reif, Chief of Predictive Toxicology Branch at NIH

Abstract: The ToxPi (Toxicological Prioritization Index) framework provides tools for integrating, visualizing, and communicating complex data sets. ToxPi was originally developed for assessing the relative toxicity of multiple chemicals or stressors by synthesizing complex toxicological data to provide a single comprehensive view of the potential health effects. It continues to be used for profiling chemicals and has since been applied to other types of “sample” entities, including geographical data (e.g. comparative ranking of county-level Covid-19 risk and historical PFAS exposure profiling) and other profiling applications. This informal seminar will provide an introduction to the ToxPi methodology and survey recent applications in risk assessment and decision-support. It will then tour through new methodological extensions, including a bidirectional ToxPi and AI/ML-guided weight optimization, and introduce integrated software applications beyond the previously released GUI app, R package, and GIS toolkit.

*This webinar will be recorded and available for viewing.

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