A dose-response-recovery clustering algorithm for categorizing carbon nanotube variants into toxicologically distinct groups

Keyphrases

• Akaike Information Criterion 10%
• Carbon Nanofibers 10%
• Carbon Nanotubes 100%
• Carbon-carbon 10%
• Cell Damage 20%
• Characteristic-based 10%
• Characterization Data 10%
• Chemical Characteristics 10%
• Class-based 10%
• Clustering Algorithm 100%
• Damage Indicator 20%
• Dose-response 100%
• Exposure Guidelines 10%
• Exposure Limits 10%
• Family Model 10%
• Group-based 10%
• Immune Cells 10%
• Immune Response 20%
• Indicator-based 10%
• Low Potencies 10%
• Occupational Safety and Health 10%
• Physical Characteristics 20%
• Response-recovery 100%
• Rodents 10%
• Toxicity Endpoints 10%
• Toxicity Potential 10%

Pharmacology, Toxicology and Pharmaceutical Science

• Carbon Nanofibre 9%