Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test

@inproceedings{Zeng2014RareVD,
  title={Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test},
  author={Ping Zeng and Yang Zhao and Liwei Zhang and Shuiping Huang and Feng Chen},
  booktitle={PloS one},
  year={2014}
}
This paper mainly utilizes likelihood-based tests to detect rare variants associated with a continuous phenotype under the framework of kernel machine learning. Both the likelihood ratio test (LRT) and the restricted likelihood ratio test (ReLRT) are investigated. The relationship between the kernel machine learning and the mixed effects model is discussed… CONTINUE READING