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Title Imaging genetics / edited by Adrian V. Dalca, Nematollah K. Batmanghelich, Li Shen, Mert R. Sabuncu.

Publication Info. London, United Kingdom : Academic Press is an imprint of Elsevier, [2018]


Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
 Axe Elsevier ScienceDirect Ebook    ---  Available
Description 1 online resource
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series The elsevier and MICCAI Society book series
Elsevier and MICCAI Society book series.
Note Online resource; title from PDF title page (EBSCO, viewed October 12, 2017).
Bibliography Includes bibliographical references and index.
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
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.
Subject Genetics.
Imaging systems in biology.
Human genetics -- Variation.
Imaging systems in genetics.
Diagnostic imaging.
Genetic Variation -- genetics
Genetic Association Studies
Diagnostic Imaging
Genetic Variation
Imagerie en biologie.
Variabilité génétique.
Imagerie en génétique.
Études d'associations génétiques.
Imagerie pour le diagnostic.
SCIENCE -- Life Sciences -- Evolution.
Diagnostic imaging. (OCoLC)fst00892354
Imaging systems in genetics. (OCoLC)fst00967626
Genetics. (OCoLC)fst00940117
Human genetics -- Variation. (OCoLC)fst00963100
Imaging systems in biology. (OCoLC)fst00967624
Genre/Form Electronic books.
Added Author Dalca, Adrian V. (Adrian Vasile), editor.
Batmanghelich, Nematollah K. (Nematollah Kayhan), editor.
Sabuncu, Mert Rory, 1979- editor.
Shen, Li (Radiologist), editor.
Other Form: Print version: 9780128139684 0128139684 (OCoLC)983822819
ISBN 9780128139691 (electronic bk.)
0128139692 (electronic bk.)
Standard No. AU@ 000061503330
AU@ 000065066828

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