Predicting acute aquatic toxicity of structurally diverse chemicals in fish using artificial intelligence approaches

Title
Predicting acute aquatic toxicity of structurally diverse chemicals in fish using artificial intelligence approaches
Authors
Keywords
-
Journal
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
Volume 95, Issue -, Pages 221-233
Publisher
Elsevier BV
Online
2013-06-12
DOI
10.1016/j.ecoenv.2013.05.017

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started