Wilczyńska-Piliszek, Agata J <br/><br/>
Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinated trans-azobenzene congeners.  [electronic resource] 

 -  Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes  2012 
 - 111-28 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1532-4109 
<br/><br/><label>Standard No.: </label>10.1080/03601234.2012.616779  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>1-Octanol--chemistry<br/>Algorithms<br/>Azo Compounds--chemistry<br/>Computer Simulation<br/>Dioxins--chemistry<br/>Halogenation<br/>Neural Networks, Computer<br/>Polychlorinated Biphenyls--analysis<br/>Quantitative Structure-Activity Relationship<br/>Software<br/>Water--chemistry