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: 06-12-2019| Version 1 | DOI: 10.17632/wcrt6zsc6g.1

Contributors:

Jeremy Gernand,

Vignesh Ramchandran

Description

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

Download All

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

Description

Files