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Springer - Computational and Statistical Approaches to Genomics

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Description

Stay current with the latest research in genomic analysis and modeling with the second edition of Computational and Statistical Approaches to Genomics. Published by Springer, this updated volume incorporates eight new contributors to provide a modern, cutting-edge perspective on the field. This edition features the newest research results using state-of-the-art methods drawn from engineering, statistics, and genomics. By combining these disciplines, the text offers advanced tools and models that are applied directly to real biological and clinical problems. The original seventeen chapters have been updated to include new initiatives and directions, making it an essential resource for researchers working to solve modern genomic challenges. Whether you are studying genomic modeling or looking for practical applications in clinical settings, this book provides the technical foundation needed to navigate contemporary research. It serves as a comprehensive guide for those looking to master the statistical and computational methods driving today's biological breakthroughs.

Key Features

Includes eight new contributors to reflect modern, cutting-edge approaches in the field of genomics.

Provides the newest research results on genomic analysis and modeling using state-of-the-art methods.

Integrates advanced techniques from engineering, statistics, and genomics to solve complex problems.

Applies computational tools and models to real-world biological and clinical scenarios.

Features seventeen updated chapters that include new research initiatives and directions.

Designed to help researchers navigate and deal with current genomic challenges.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 November 2010
Listed Since
01 October 2010

Barcode

No barcode data available

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