Artificial neural networks / Book / edited by Hugh Cartwright.

Contributor(s):

Cartwright, Hugh M, 1948- [editor.]

Material type: Text

TextSeries: Methods in molecular biology ; 2190Edition: Third editionDescription: xii, 359 pages : illustrations (black and white, and colour) ; 26 cmISBN:

9781071608289 (paperback)

Subject(s):

Neural networks (Computer science)

DDC classification:

006.32 23

Other classification:

006.32

Summary: 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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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	006.32 ART 62537 (Browse shelf(Opens below))	Available		10001000062537

Total holds: 0

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Previous	006.32 AGG-N 60199 Neural networks and deep learning a textbook /	006.32 AGG-N 60279 Neural networks and deep learning a textbook /	006.32 AND-I An introduction to neural networks	006.32 ART 62537 Artificial neural networks /	006.32 BER-D Data Networks	006.32 BER-D 63370 Data Networks	006.32 COT-E Enchanted looms conscious networks in brains and computers /	Next

Includes references and index

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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