A QSAR Study of Avian Oral Toxicity using Support Vector Machines and Genetic Algorithms
Author:
Publisher
Wiley
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery
Reference34 articles.
1. Use of QSARs in international decision-making frameworks to predict ecologic effects and environmental fate of chemical substances.
2. Use of QSARs in international decision-making frameworks to predict health effects of chemical substances.
3. OPP 71-1 Avian Single-Dose LD50 Test (Pesticide Assessment Guidelines, Subdivision E-Hazard Evaluation; Wildlife and Aquatic Organisms) EPA report 540/09-82-024, 1982.
4. US EPA OPPTS 850.2100 Avian Acute Oral Toxicity Test (Ecological Effects Test Guidelines) 1996.
5. Assessing the consequences of the pesticide methoxychlor: neuroendocrine and behavioral measures as indicators of biological impact of an estrogenic environmental chemical
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