£135.31

Springer Multi-Omics Data Integration and Data Mining Book

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Description

Master the challenges of the omics age with this comprehensive guide on multi-omics big-data integration and data-mining techniques. As researchers face a massive increase in data from various sources, finding ways to combine these datasets is essential for discovering new clues in biomedical and clinical applications. This book provides a clear roadmap for navigating these complex datasets. Designed to explain the what, why, and how of the subject, the text uses supportive examples to make advanced concepts accessible. The content is organized into eight detailed chapters, including an introduction and four chapters specifically dedicated to omics integration techniques. Whether you are working in bioinformatics or clinical research, this resource offers the technical foundation needed to handle multi-omics data effectively.

Key Features

Covers essential multi-omics big-data integration and data-mining techniques for modern research.

Provides practical explanations of the what, why, and how of multi-omics topics through supportive examples.

Includes eight structured chapters covering everything from introductory concepts to specific integration methods.

Offers technical insights into managing large datasets from various sources for biomedical applications.

Explores data-mining methods designed to uncover clues for clinical and biomedical use cases.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
16 January 2024
Listed Since
20 December 2023

Barcode

No barcode data available

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