Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method.
- Published in:
- Journal of Toxicological Sciences, 2024, v. 49, n. 3, p. 117, doi. 10.2131/jts.49.117
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- Publication type:
- Article
Works matching IS 03881350 AND DT 2024 AND VI 49 AND IP 3
Results: 4
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DTox: A deep neural network-based in visio lens for large scale toxicogenomics data.
- Published in:
- Journal of Toxicological Sciences, 2024, v. 49, n. 3, p. 105, doi. 10.2131/jts.49.105
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- Publication type:
- Article
3
Possible nonimmunological toxicological mechanisms of vesnarinone-associated agranulocytosis in HL-60 cells: role of reduced glutathione as cytotoxic defense.
- Published in:
- Journal of Toxicological Sciences, 2024, v. 49, n. 3, p. 95, doi. 10.2131/jts.49.95
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- Publication type:
- Article
4
Discovery and development of COVID-19 vaccines and therapeutics: nonclinical perspectives.
- Published in:
- Journal of Toxicological Sciences, 2024, v. 49, n. 3, p. 79, doi. 10.2131/jts.49.79
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- Publication type:
- Article