• Corpus ID: 218571445

The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration

@article{Wang2020TheSB,
  title={The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration},
  author={Nanwei Wang and Laurent Briollais and H{\'e}l{\`e}ne Massam},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04139}
}
Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprecedented depth and scale. A large amount of genomic data is now distributed through consortia like The Cancer Genome Atlas (TCGA), where specific types of biological information on specific type of tissue or cell are available. In cancer research, the challenge is now to perform integrative analyses of high-dimensional… 
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