Artificial Neural Networks (Methods in Molecular Biology, 2190)

✍ Scribed by Hugh Cartwright (editor)

Publisher: Humana
Year: 2020
Tongue: English
Leaves: 371
Edition: 3rd ed. 2021
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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