Classification and prediction of toxicity of chemicals using an automated phenotypic profiling of Caenorhabditis elegans

Classification and prediction of toxicity of chemicals using an automated phenotypic profiling of Caenorhabditis elegans

Abstract Background Traditional toxicological studies have relied heavily on various animal models to understand the effect of various compounds in a biological context. Considering the great cost, complexity and time involved in experiments using higher order organisms. Researchers have been explor...

Full description

Bibliographic Details
Main Authors: Shan Gao, Weiyang Chen, Yingxin Zeng, Haiming Jing, Nan Zhang, Matthew Flavel, Markandeya Jois, Jing-Dong J. Han, Bo Xian, Guojun Li
Format: Article
Language:English
Published: BMC 2018-04-01
Series:BMC Pharmacology and Toxicology
Subjects:
C. elegans
Chemicals
Toxicity
Image analysis
Phenotype
Online Access:http://link.springer.com/article/10.1186/s40360-018-0208-3

Internet

http://link.springer.com/article/10.1186/s40360-018-0208-3

Similar Items