£151.79

Multimodal Data Fusion for Bioinformatics AI - Wiley-Scrivener

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Description

Explore the intersection of artificial intelligence and bioinformatics with this comprehensive resource. Multimodal Data Fusion for Bioinformatics Artificial Intelligence examines how innovative data fusion methods are applied within omics research to drive scientific discovery. This book provides a deep look into how cutting-edge integration techniques interact with the fast-moving bioinformatics landscape. It starts with the fundamental principles of combining different data types, making it a valuable asset for researchers and students alike. Beyond technical methodologies, the text addresses the ethical implications and the future developments that are currently shaping the field. Whether you are studying machine learning applications or specialized biological data integration, this text offers the necessary insights to understand modern computational biology. It serves as a guide for those looking to master how diverse datasets work together to provide a clearer picture of complex biological systems.

Key Features

Covers innovative data fusion methods specifically designed for modern bioinformatics applications.

Explores the practical use of these technologies within the field of omics research.

Provides a foundational understanding by starting with the basics of integrating different data types.

Addresses the important ethical implications that arise from using AI in biological sciences.

Discusses the future developments and trends that are currently shaping the bioinformatics industry.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 January 2025
Listed Since
28 December 2024

Barcode

No barcode data available

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