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...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-04-01
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Series: | BMC Pharmacology and Toxicology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40360-018-0208-3 |