£77.63

Cambridge University Press Advances in Statistical Bioinformatics - Cambridge University Press

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Description

Modern medicine aims to provide genome-informed personalized treatment, a goal that relies heavily on identifying new translational targets in nucleic acid characterizations. As genome-scale investigations create an information tsunami, there is a growing need for advanced statistical methodology, inference, and computational tools to manage this data. This book from Cambridge University Press addresses these challenges by focusing on the integration of high-throughput bioinformatics data from multiple platforms. Designed within the context of genomic medicine, the text places a strong focus on cancer research to help improve our understanding of complex biological processes. It provides necessary frameworks for analyzing the massive datasets produced by modern high-throughput investigations, making it a valuable resource for those working at the intersection of statistics, biology, and computational science.

Key Features

Explores the integration of high-throughput bioinformatics data from multiple platforms to improve biological understanding.

Focuses on genomic medicine with a specific application to cancer research and translational target identification.

Addresses the challenges of managing large-scale information produced by genome-scale investigations.

Provides insights into the development of statistical methodology, inference, and analytical frameworks.

Supports the goal of genome-informed personalized treatment through advanced computational approaches.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 June 2013
Listed Since
21 November 2012

Barcode

No barcode data available

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