QSAR in Ecotoxicity: An Overview of Modern Classification Techniques
Author:
Affiliation:
1. Istituto di Ricerche Farmacologiche “Mario Negri” Milano, Via Eritrea, 62, 20157 Milano, Italy, and Università degli Studi di Milano Bicocca, Dip. di Scienze dell'Ambiente e del Territorio (DISAT), Piazza della Scienza 1, 20126 Milano, Italy
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci034193w
Reference31 articles.
1. Prediction of rodent carcinogenicity of aromatic amines: a quantitative structure-activity relationships model
2. Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network
3. Database mining with adaptive fuzzy partition: Application to the prediction of pesticide toxicity on rats
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