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Imaging Genetics presents the latest research in imaging genetics methodology for discovering new associations between imaging and genetic variables, providing an overview of the state-of the-art in the field. Edited and written by leading researchers, this book is a beneficial reference for students and researchers, both new and experienced, in this growing area.
The field of imaging genetics studies the relationships between DNA variation and measurements derived from anatomical or functional imaging data, often in the context of a disorder. While traditional genetic analyses rely on classical phenotypes like clinical symptoms, imaging genetics can offer richer insights into underlying, complex biological mechanisms.
Contains an introduction describing how the field has evolved to the present, together with perspectives on its future direction and challenges. This section provides a comprehensive overview of the development of imaging genetics, highlighting key milestones and breakthroughs.
Describes novel application domains and analytic methods that represent the state-of-the-art in the burgeoning field of imaging genetics. This section showcases the latest advancements in imaging genetics, including cutting-edge techniques and applications that are shaping the future of the field.
Introduces a novel, large-scale analytic framework that involves multi-site, image-wide, genome-wide associations. This section outlines a groundbreaking approach to imaging genetics analysis, offering insights into the complex relationships between genetic data and imaging measurements across multiple sites and scales.
Pages: 182
Publisher: Academic Press; 1 edition (October 10, 2017)
Language: English
ISBN-10: 0128139684
ISBN-13: 978-0128139684
This comprehensive guide to imaging genetics is an essential resource for researchers and students seeking to understand the latest developments in the field. With its detailed introduction, state-of-the-art applications, and novel analytic framework, this book provides a thorough exploration of imaging genetics methodology and its potential applications.
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