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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

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

verfasst von : Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang

Erschienen in: Health Informatics Data Analysis

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods
Nächstes Kapitel Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection
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Metadaten
Titel
Imaging Genetics: Information Fusion and Association Techniques Between Biomedical Images and Genetic Factors
verfasst von
Dongdong Lin
Vince D. Calhoun
Yu-Ping Wang
Copyright-Jahr
2017
Buch
Health Informatics Data Analysis

Print ISBN: 978-3-319-44979-1

Electronic ISBN: 978-3-319-44981-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-44981-4_7

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