یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
A brief introduction to predictive toxicology / Christoph Helma -- Description and representation of chemicals / Wolfgang Guba -- Computational biology and toxicogenomics / Kathleen Marchal [and others] -- Toxicological information for use in predictive modelig: quality, sources, and databases / Mark T.D. Cronin -- The use of expert systems for toxicology risk prediction / Simon Parsons and Peter McBurney -- Regression- and projection-based approaches in predictive toxicology / Lennart Eriksson, Erik Johansson, and Torbjörn Lundstedt -- Machine learning and data mining / Stefan Kramer and Christoph Helma -- Neural networks and kernel machines for vector and structured data / Paolo Frasconi -- Applications of substructure-based SAR in toxicology / Herbert S. Rosenkranz and Bhavani P. Thampatty -- OncoLogic: a mechanism-based expert system for predicting the carcinogenic potential of chemicals / Yin-Tak Woo and David Y. Lai -- META: an expert system for the prediction of metabolic transformations / Gilles Klopman and Aleksandr Sedykh -- MC4PC -- an artificial intelligence approach to the discovery of quantitative structure-toxic activity relationships / Gilles Klopman [and others] -- PASS: prediction of biological activity spectra for substances / Vladimir Poroikov and Dmitri Filimonov -- Iazar: lazy structure-activity relationships for toxicity prediction / Christoph Helma.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"A comprehensive overview of techniques and systems currently utilized in predictive toxicology, this reference presents an in-depth survey of strategies to characterize chemical structures and biological systems - covering prediction methods and algorithms, sources of high-quality toxicity data, the most important commercial and noncommercial predictive toxicology programs, and advanced technologies in computational chemistry and biology, statistics, and data mining."--Jacket.