£111.32

Springer Artificial Neural Networks: 1260 Methods in Molecular Biology

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Description

Explore the practical applications of Artificial Neural Networks within the biological sciences through this specialized volume from Springer. As part of the highly successful Methods in Molecular Biology series, this book provides a deep look at how neural networks solve complex problems in research and diagnostics. Readers can examine diverse case studies ranging from the analysis of intracellular sorting information to the prediction of bacterial community behavior. The text covers essential topics such as gene signatures in breast cancer classification, studies of Tuberculosis, and the use of mass spectrometry for metabolite identification. Designed to be accessible to both experts and non-experts, each chapter includes a clear introduction to the topic and specific application details. This volume is an essential resource for those studying computer science, AI, and machine learning as they relate to biological systems, biometric authentication, visual navigation, and computer diagnosis.

Key Features

Covers diverse applications including gene signatures for breast cancer classification and Tuberculosis studies.

Provides detailed analysis of intracellular sorting information and bacterial community behavior prediction.

Includes technical insights into mass spectrometry for metabolite identification and computer diagnosis.

Explores advanced topics like biometric authentication and visual navigation systems.

Formatted within the successful Methods in Molecular Biology series for consistent academic quality.

Written to be useful for both subject matter experts and those new to the field.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 December 2014
Listed Since
25 September 2014

Barcode

No barcode data available

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