Methods in Molecular Biology

Artificial Neural Networks

Editors: Cartwright, Hugh (Ed.)

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  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
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  • ISBN 978-1-4939-2239-0
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About this book

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).

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Introduction to the Analysis of the Intracellular Sorting Information in Protein Sequences: From Molecular Biology to Artificial Neural Networks

    Pages 1-16

    Aguilar, R. Claudio

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

    Pages 17-32

    Shen, Yang (et al.)

  • Predicting Bacterial Community Assemblages Using an Artificial Neural Network Approach

    Pages 33-43

    Larsen, Peter (et al.)

  • A General ANN-Based Multitasking Model for the Discovery of Potent and Safer Antibacterial Agents

    Pages 45-64

    Speck-Planche, A. (et al.)

  • Use of Artificial Neural Networks in the QSAR Prediction of Physicochemical Properties and Toxicities for REACH Legislation

    Pages 65-88

    Dearden, John C. (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-1-4939-2239-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Hardcover $179.99
price for USA in USD
Softcover $139.00
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks
Editors
  • Hugh Cartwright
Series Title
Methods in Molecular Biology
Series Volume
1260
Copyright
2015
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-2239-0
DOI
10.1007/978-1-4939-2239-0
Hardcover ISBN
978-1-4939-2238-3
Softcover ISBN
978-1-4939-4893-2
Series ISSN
1064-3745
Edition Number
2
Number of Pages
XI, 340
Number of Illustrations
27 b/w illustrations, 65 illustrations in colour
Topics