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).
| ISBN: | 9781493948932 |
| Publication date: | 30th April 2017 |
| Author: | Hugh Cartwright |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 340 pages |
| Series: | Methods in Molecular Biology |
| Genres: |
Cellular biology (cytology) |
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.
Artificial Neural Networks features in the following genres: Cellular biology (cytology)
Hardback, Paperback. Not Available.
Artificial Neural Networks was written by Hugh Cartwright and published by Springer an imprint of Springer New York
Artificial Neural Networks has 340 pages
Yes it is part of Methods in Molecular Biology series