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

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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