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Title Imaging genetics / edited by Adrian V. Dalca, Nematollah K. Batmanghelich, Li Shen, Mert R. Sabuncu
Published London, United Kingdom : Academic Press is an imprint of Elsevier, [2018]
Online access available from:
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Description 1 online resource
Series The elsevier and MICCAI Society book series
Elsevier and MICCAI Society book series.
Contents Multisite metaanalysis of image-wide genome-wide associations with morphometry -- Genetic connectivity : correlated genetic control of cortical thickness, brain volume, and white matter -- Integration of network-based biological knowledge with white matter features in preterm infants using the graph-guided group lasso -- Classifying schizophrenia subjects by fusing networks from single-nucleotide polymorphisms, DNA methylation, and functional magnetic resonance imaging data -- Genetic correlation between cortical gray matter thickness and white matter connections -- Bootstrapped sparse canonical correlation analysis: mining stable imaging and genetic associations with implicit structure learning -- A network-based framework for mining high-level imaging genetic associations -- Bayesian feature selection for ultra-high dimensional imaging genetics data -- Continuous inflation analysis: a threshold-free method to estimate genetic overlap and boost power in imaging genetics
Summary "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 Describes novel application domains and analytic methods that represent the state-of-the-art in the burgeoning field of imaging geneticsIntroduces a novel, large-scale analytic framework that involves multi-site, image-wide, genome-wide associations"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed October 12, 2017)
Subject Genetics.
Human genetics -- Variation.
Imaging systems in biology.
Imaging systems in genetics.
Form Electronic book
Author Batmanghelich, Nematollah K. (Nematollah Kayhan), editor
Dalca, Adrian V. (Adrian Vasile), editor
Sabuncu, Mert Rory, 1979- editor
Shen, Li (Radiologist), editor
ISBN 0128139692 (electronic bk.)
9780128139691 (electronic bk.)