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Predictive Toxicology
About this book
Organic Light Emitting Diodes: Principles, Characteristics, and Processes presents recent developments in organic electroluminescence and their application to light emitting diodes. In six chapters and complete with an extensive set of references, it describes and illustrates the physical principles of organic LEDs and their electrical and optical characteristics with a wide range of examples and practical studies. The author presents a unified approach to the description and functioning of organic LEDs, based on a comprehensive background of relevant physical processes and provides a clear foundation for the prediction and design of new improved electroluminescent devices.
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Yes, you can access Predictive Toxicology by Christoph Helma in PDF and/or ePUB format, as well as other popular books in Medicine & Environmental Science. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Contributors
- 1 A Brief Introduction to Predictive Toxicology
- 2 Description and Representation of Chemicals
- 3 Computational Biology and Toxicogenomics
- 4 Toxicological Information for Use in Predictive Modeling: Quality, Sources, and Databases
- 5 The Use of Expert Systems for Toxicology Risk Prediction
- 7 Machine Learning and Data Mining
- 8 Neural Networks and Kernel Machines for Vector and Structured Data
- 9 Applications of Substructure-Based SAR in Toxicology
- 10 OncoLogic: A Mechanism-Based Expert System for Predicting the Carcinogenic Potential of Chemicals
- 11 META: An Expert System for the Prediction of Metabolic Transformations
- 12 MC4PC—An Artificial Intelligence Approach to the Discovery of Quantitative Structure-Toxic Activity Relationships
- 13 PASS: Prediction of Biological Activity Spectra for Substances
- 14 lazar: Lazy Structure-Activity Relationships for Toxicity Prediction
- Index