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Springer Artificial Neural Networks: 1260 - Methods in Molecular Biology

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Description

Artificial Neural Networks: 1260 is a comprehensive volume from Springer's Methods in Molecular Biology series that demonstrates practical applications of ANNs across biological sciences and related fields. This book covers critical applications including analysis of intracellular sorting information, prediction of bacterial community behaviour, biometric authentication systems, tuberculosis studies, gene signatures for breast cancer classification, mass spectrometry techniques in metabolite identification, visual navigation systems, and computer-aided diagnosis methods. Each chapter in this Methods in Molecular Biology volume includes introductions to specific topics alongside detailed application guidance designed for both experienced researchers and those new to the field. The structured format provides accessible learning pathways for understanding how artificial neural networks solve real-world problems in molecular biology, genetics, microbiology, and clinical diagnostics.

Key Features

Springer's Methods in Molecular Biology series volume 1260 delivers practical artificial neural network applications across biological research disciplines.

Covers intracellular sorting analysis, bacterial community prediction, biometric authentication, and tuberculosis studies using neural network approaches.

Includes gene signature methods for breast cancer classification and mass spectrometry applications in metabolite identification.

Features visual navigation and computer diagnosis techniques developed with artificial neural networks for clinical and research environments.

Each chapter provides introductions and detailed application guidance suitable for both expert researchers and newcomers to neural networks in biology.

Product Specifications

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

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