Data for: Examining the In Vivo Pulmonary Toxicity of Engineered Metal Oxide Nanomaterials Using a Genetic Algorithm-Based Dose-Response-Recovery Clustering Model

Name: Data for: Examining the In Vivo Pulmonary Toxicity of Engineered Metal Oxide Nanomaterials Using a Genetic Algorithm-Based Dose-Response-Recovery Clustering Model
Creator: Jeremy Gernand
Published: 2019-12-06T06:41:02.436Z
Keywords: Genetic Algorithm, Nanoparticles, Toxicity, Meta-Analysis, Model-Based Clustering

Gernand, Jeremy; Ramchandran, Vignesh

doi:10.17632/wcrt6zsc6g.1

Data for: Examining the In Vivo Pulmonary Toxicity of Engineered Metal Oxide Nanomaterials Using a Genetic Algorithm-Based Dose-Response-Recovery Clustering Model

Published: 6 December 2019| Version 1 | DOI: 10.17632/wcrt6zsc6g.1

Contributors:

Jeremy Gernand, Vignesh Ramchandran

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This data set includes in vivo pulmonary toxicity response information from exposures to metal oxide nanoparticles curated from published peer reviewed literature.

Data for: Examining the In Vivo Pulmonary Toxicity of Engineered Metal Oxide Nanomaterials Using a Genetic Algorithm-Based Dose-Response-Recovery Clustering Model

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