© 2021

Artificial Neural Networks

  • Hugh Cartwright
  • Includes cutting-edge methods and protocols

  • Provides step-by-step detail essential for reproducible results

  • Contains key notes and implementation advice from the experts?


Part of the Methods in Molecular Biology book series (MIMB, volume 2190)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Edward Airey, Stephanie Portelli, Joicymara S. Xavier, Yoo Chan Myung, Michael Silk, Malancha Karmakar et al.
    Pages 1-32
  3. Christian Bock, Michael Moor, Catherine R. Jutzeler, Karsten Borgwardt
    Pages 33-71
  4. Davide Chicco
    Pages 73-94
  5. Kratika Naskulwar, Ruben Chevez-Guardado, Lourdes Peña-Castillo
    Pages 95-114
  6. Silvia Curteanu, Elena-Niculina Dragoi, Alexandra Cristina Blaga, Anca Irina Galaction, Dan Cascaval
    Pages 115-138
  7. Xuhan Liu, Adriaan P. IJzerman, Gerard J. P. van Westen
    Pages 139-165
  8. António J. Preto, Pedro Matos-Filipe, José G. de Almeida, Joana Mourão, Irina S. Moreira
    Pages 267-288
  9. Diana Sousa, Andre Lamurias, Francisco M. Couto
    Pages 289-305
  10. Eshel Faraggi, Robert L. Jernigan, Andrzej Kloczkowski
    Pages 307-316
  11. Back Matter
    Pages 355-359

About this book


This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the 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: Third Edition should be of value to all scientists interested in the hands-on application of ANNs in the biosciences.


biological networks structural biology bioinformatics modelling of cell function peptide profiles neuroblastoma

Editors and affiliations

  • Hugh Cartwright
    • 1
  1. 1.ChemistryOxford UniversityOxfordUK

Bibliographic information

  • Book Title Artificial Neural Networks
  • Editors Hugh Cartwright
  • Series Title Methods in Molecular Biology
  • Series Abbreviated Title Methods Molecular Biology
  • DOI
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2021
  • Publisher Name Humana, New York, NY
  • eBook Packages Springer Protocols
  • Hardcover ISBN 978-1-0716-0825-8
  • Softcover ISBN 978-1-0716-0828-9
  • eBook ISBN 978-1-0716-0826-5
  • Series ISSN 1064-3745
  • Series E-ISSN 1940-6029
  • Edition Number 3
  • Number of Pages XII, 359
  • Number of Illustrations 20 b/w illustrations, 114 illustrations in colour
  • Topics Neurosciences
  • Buy this book on publisher's site