Understanding Adverse Biological Effect Predictions Using Knowledge Graphs

1 code implementation • 28 Oct 2022 • Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen

An effect prediction model, with and without background knowledge, was used to predict mean adverse biological effect concentration of chemicals as a prototypical type of stressors.

Knowledge Graphs

Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings

3 code implementations • 8 Dec 2021 • Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen

Furthermore, we have implemented a fine-tuning architecture that adapts the knowledge graph embeddings to the effect prediction task and leads to better performance.

Knowledge Graph Embedding Knowledge Graph Embeddings

TERA: the Toxicological Effect and Risk Assessment Knowledge Graph

4 code implementations • 27 Aug 2019 • Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen

Ecological risk assessment requires large amounts of chemical effect data from laboratory experiments.

Knowledge Graph Embedding for Ecotoxicological Effect Prediction

4 code implementations • 2 Jul 2019 • Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen

A knowledge graph has been constructed from publicly available data sets, including a species taxonomy and chemical classification and similarity.

Knowledge Graph Embedding