Predictive toxicology / 
edited by Christoph Helma. 
 - Boca Raton :  Taylor & Francis,  2005 
 - x, 508 p. :  ill. ;  24 cm. 
<br/><br/>a brief introduction to predictive; <br/>description and representation of chemicals; <br/>computational biology; <br/>toxicological information for use in predictive modeling : quality, sources, and data bases; <br/>the use of expert systems for toxicology risk prediction; <br/>regression -and  projection- based approaches in predictive toxicology; <br/>machine learning and data mining; <br/>neural networks and kernel machines for vector and structured data; <br/>applications of substructure based SAR in toxicology; <br/>oncologic : a mechanism-based expert system for predicting the carcinogenic potential of chemicals; <br/>meta : an expert system for the prediction of metabolic transformations; <br/>MC4PC an artificial intelligence approach to the discovery of quantitative structure toxic activity relationships; <br/>pass : prediction of biological activity spectra for substances; <br/>lazar : lazy structure activity relationships for toxicity predictions  
<br/><br/><label>ISBN: </label>082472397X (alk. paper) 9780824723972 (hbk) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Toxicology--Mathematical models.<br/>Toxicology--Computer simulation.
<br/><br/><label>Dewey Class. No.: </label>615.9  / C4661