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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.
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).
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.
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