Artificial Neural Networks [Hardcover]

This volume presents examples of how ANNs are applied in biological sciences and related areas. Chapters focus on the analysis of intracellular sorting information,?prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification,?use of mass spectrometry in metabolite identification,?visual navigation, and?computer diagnosis. Written in the highly successful Methods in Molecular Biology?series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Artificial Neural Networks: Second Edition aids scientists in continuing to study Artificial Neural Networks (ANNs).

1. Introduction To The Analysis Of The Intracellular Sorting Information In Protein Sequences: From Molecular Biology To Artificial Neural Networks

R. Claudio Aguilar

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2. Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N

Yang Shen and Ad Bax

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3. Predicting Bacterial Community Assemblages using an Artificial Neural Network Approach

Peter Larsen, Yang Dai and Frank R. Collart

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4. A General ANN-Based Multi-Tasking Model For The Discovery Of Potent and Safer Antibacterial Agents

A. Speck-Planche ?and M. N. D. S. Cordeiro

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5. Use of Artificial Neural Networks in the QSAR Prediction of Physico-chemical Properties and Toxicities for REACH Legislation

John C. Dearden and Philip H. Rowe

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6. Artificial Neural Network for Charge Prediction in MetabolilS[