Developing a Support Vector Machine Based QSPR Model for Prediction of Atmospheric Lifetime of Some Halocarbons
Author:
Affiliation:
1. Chemometrics Laboratory, Faculty of Chemistry, University of Mazandaran
Publisher
The Chemical Society of Japan
Subject
General Chemistry
Link
http://www.journal.csj.jp/doi/pdf/10.1246/bcsj.20140169
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5. A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis
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1. QSPR models for prediction of bovine serum albumin-water partition coefficients of organic compounds and drugs based on enhanced replacement method and support vector machine;Computational Toxicology;2017-11
2. Hybrid Docking-Nano-QSPR: An Alternative Approach for Prediction of Chemicals Adsorption on Nanoparticles;Nano;2016-07
3. Chemometrics tools in QSAR/QSPR studies: A historical perspective;Chemometrics and Intelligent Laboratory Systems;2015-12
4. Strategy of Structure Generation within Applicability Domains with One-Class Support Vector Machine;Bulletin of the Chemical Society of Japan;2015-07-15
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