High dimensional latent Gaussian copula model for mixed data in imaging genetics

@article{Zhang2018HighDL,
  title={High dimensional latent Gaussian copula model for mixed data in imaging genetics},
  author={Aiying Zhang and Jian Fang and Vince D. Calhoun and Yu-ping Wang},
  journal={2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)},
  year={2018},
  pages={105-109}
}
Recent advances in imaging genetics combine different types of data including medical images like functional MRI images and genetic data like single nucleotide polymorphisms (SNPs). Many studies have proved that several mental diseases such as autism, ADHD, schizophrenia are affected by gene mutations. Understanding the complex interactions among these heterogeneous datasets may give rise to a new perspective for diseases diagnosis and prevention. In statistics, various graphical models have… 

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