rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Imaging genetics
  name:
    name part: Dalca, Adrian V. (Adrian Vasile)
    role:
      role term: editor.
  name:
    name part: Batmanghelich, Nematollah K. (Nematollah Kayhan)
    role:
      role term: editor.
  name:
    name part: Sabuncu, Mert Rory
    name part: 1979-
    role:
      role term: editor.
  name:
    name part: Shen, Li
    name part: (Radiologist)
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "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"--
  table of 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.
  note: edited by Adrian V. Dalca, Nematollah K. Batmanghelich, Li Shen, Mert R. Sabuncu.
  note: Includes bibliographical references and index.
  subject:
    topic: Genetics
  subject:
    topic: Imaging systems in biology
  subject:
    topic: Human genetics
    topic: Variation
  subject:
    topic: Imaging systems in genetics
  subject:
    topic: Diagnostic imaging
  subject:
    topic: Genetic Variation
    topic: genetics
  subject:
    topic: Genetic Association Studies
  subject:
    topic: Diagnostic Imaging
  subject:
    topic: Genetics
  subject:
    topic: Genetic Variation
  subject:
    topic: Génétique
  subject:
    topic: Imagerie en biologie
  subject:
    topic: Variabilité génétique
  subject:
    topic: Imagerie en génétique
  subject:
    topic: Études d'associations génétiques
  subject:
    topic: Imagerie pour le diagnostic
  subject:
    topic: genetics
  subject:
    topic: SCIENCE
    topic: Life Sciences
    topic: Evolution
  subject:
    topic: Diagnostic imaging
  subject:
    topic: Imaging systems in genetics
  subject:
    topic: Genetics
  subject:
    topic: Human genetics
    topic: Variation
  subject:
    topic: Imaging systems in biology
  classification: QH430
  classification: 576.5
  classification: 2018 A-872
  classification: QU 477
  related item:
    identifier: (OCoLC)983822819
  related item:
    title info:
      title: Elsevier and MICCAI Society book series
  identifier: 9780128139691
  identifier: 0128139692
  identifier: 9780128139684
  identifier: 0128139684
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 170926
    record change date: 20260327152421.7
    record identifier: in00005762316
    language of cataloging:
      language term: eng