Supervised clustering of high dimensional data using regularized mixture modeling

@article{Chang2021SupervisedCO,
  title={Supervised clustering of high dimensional data using regularized mixture modeling},
  author={Wennan Chang and Changlin Wan and Yong Zang and Chi Zhang and Sha Cao},
  journal={Briefings in bioinformatics},
  year={2021},
  volume={22 4}
}
Identifying relationships between genetic variations and their clinical presentations has been challenged by the heterogeneous causes of a disease. It is imperative to unveil the relationship between the high-dimensional genetic manifestations and the clinical presentations, while taking into account the possible heterogeneity of the study subjects.We proposed a novel supervised clustering algorithm using penalized mixture regression model, called component-wise sparse mixture regression (CSMR… 
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