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Imaging Genetics: Information Fusion and Association Techniques Between Biomedical Images and Genetic Factors

  • Dongdong Lin
  • Vince D. Calhoun
  • Yu-Ping Wang
Chapter
Part of the Health Information Science book series (HIS)

Abstract

The development of advanced medical imaging technologies and high-throughput genomic measurements has enhanced our understanding of their interplay as well as their relationship with human behavior. In this chapter, we review the recent work of fusing imaging and genetic data for the correlative and association analysis as well as the diverse statistical models in these studies from univariate to multivariate methods. We also discuss future directions and challenges in integrative analysis of imaging and genetic data and finally give an example of parallel independent component analysis (ICA) in an imaging genetic study of schizophrenia.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Dongdong Lin
    • 1
    • 3
  • Vince D. Calhoun
    • 3
    • 4
  • Yu-Ping Wang
    • 1
    • 2
  1. 1.Biomedical Engineering DepartmentTulane UniversityNew OrleansUSA
  2. 2.Center of Genomics and BioinformaticsTulane UniversityNew OrleansUSA
  3. 3.The Mind Research Network & LBERIAlbuquerqueUSA
  4. 4.Department of Electrical and Computer EngineeringUniversity of New MexicoAlbuquerqueUSA

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