Acute Toxicity-Supported Chronic Toxicity Prediction: A k-Nearest Neighbor Coupled Read-Across Strategy

A k-nearest neighbor (k-NN) classification model was constructed for 118 RDT NEDO (Repeated Dose Toxicity New Energy and industrial technology Development Organization; currently known as the Hazard Evaluation Support System (HESS)) database chemicals, employing two acute toxicity (LD(50))-based cla...

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Detalles Bibliográficos
Autores principales: Chavan, Swapnil, Friedman, Ran, Nicholls, Ian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4463722/
https://www.ncbi.nlm.nih.gov/pubmed/26006240
http://dx.doi.org/10.3390/ijms160511659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4463722/
https://www.ncbi.nlm.nih.gov/pubmed/26006240
http://dx.doi.org/10.3390/ijms160511659

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