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

Volume: 19, Issue: 1
Published: Apr 18, 2018
Abstract
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 exploring alternative models that avoid these disadvantages. One example of such a model is the nematode Caenorhabditis elegans. There are some advantages of C. elegans, such...
Paper Details
Title
Classification and prediction of toxicity of chemicals using an automated phenotypic profiling of Caenorhabditis elegans
Published Date
Apr 18, 2018
Volume
19
Issue
1
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