Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis

@article{Jiao2018BivariateCD,
  title={Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis},
  author={Rong Jiao and Nan Lin and Zixin Hu and David A. Bennett and Li Jin and Momiao Xiong},
  journal={Frontiers in Genetics},
  year={2018},
  volume={9}
}
The mainstream of research in genetics, epigenetics, and imaging data analysis focuses on statistical association or exploring statistical dependence between variables. Despite their significant progresses in genetic research, understanding the etiology and mechanism of complex phenotypes remains elusive. Using association analysis as a major analytical platform for the complex data analysis is a key issue that hampers the theoretic development of genomic science and its application in practice… 

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